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Introduction\,\ai_company_introduction_title\:\2025 AI Company Profile\,\ess_company_introduction_title\:\2025 ESS Company Profile\,\download\:\Download\,\core_technology_sub_title\:\Technology that pushes boundaries and unlocks new possibilities\,\thank_you_for_visiting\:\Thank you for visiting. We’ll get everything ready shortly\,\no_results_found\:\No results found.\,\passed_the_document_review\:\Passed the Document Review\,\pm_ai_first_interview\:\First Interview (Online, with Working-Level Staff)\,\pm_ai_second_interview\:\Second Interview (In-Person, with Working-Level Staff)\,\pm_ai_third_interview\:\Third Interview (with the CEO)\,\recruitment_final_acceptance\:\Final Acceptance\,\other_positions\:\Other Positions\,\current_page\:\Current Page\,\view_details\:\View Details\,\view_more_cases\:\View More Cases\,\product_sub_title\:\Distinctive Products Crafted with Unmatched Quality\,\filters_selected\:\Filters Selected\,\fold\:\Fold\,\flexible_working_hours\:\Staggered commuting hours / flexible work-time\,\flexible_working_hours_description\:\System that allows employees to freely choose their commuting times within a designated range.\,\recently_viewed_job_listings\:\Recently Viewed Job Listings\,\use_cases_title\:\Customized AI analytics that revolutionize customer experience\,\use_cases_description\:\Explore how our technology powers business innovation across various use cases\,\company_title_1\:\New possibilities created by technology\,\company_title_2\:\We are leading innovation in Industrial Vision AI solutions and the BESS sector.\,\overall_dimensions_title\:\Overall Dimensions (including container)\,\overall_dimensions_sub_title\:\L x W x H\,\overall_dimensions_sub_value\:\6058 x 2438 x 2896\,\module_manufacturer_title\:\Module Manufacturer\,\module_manufacturer_sub_title\:\Company Name\,\module_manufacturer_sub_value\:\DeltaX\,\container_manufacturer_title\:\Container Manufacturer\,\container_manufacturer_sub_title\:\Company Name\,\container_manufacturer_sub_value\:\KHAN PLANT\,\container_classification_title\:\Container Classification\,\container_classification_sub_title\:\20ft Standard / Non-standard\,\container_classification_value\:\20ft Standard\,\method_title\:\Method\,\method_sub_title\:\DC-Block / AC-Block\,\method_value\:\DC-Block\,\cable_connection_structure_title\:\Cable Connection Structure\,\cable_connection_structure_sub_title\:\Front / Rear Docking\,\cable_connection_structure_value\:\Rear Docking\,\battery_cell_form_factor_title\:\Battery Cell Form Factor\,\battery_cell_form_factor_sub_title\:\Cylindrical / Prismatic / Pouch\,\battery_cell_form_factor_value\:\Pouch\,\battery_cell_chemistry_title\:\Battery Cell Chemistry\,\battery_cell_chemistry_sub_title\:\MCM / LFP\,\battery_cell_chemistry_value\:\LFP\,\module_capacity_title\:\Module Capacity\,\module_capacity_sub_title\:\KWh\,\module_capacity_value\:\157.3KWh\,\capacity_title\:\BESS Capacity\,\capacity_sub_title\:\MWh\,\capacity_value\:\5.66MWh\,\contact_us_title\:\E-mail address copied.\,\contact_us_description\:\If you send us your inquiry, we will respond promptly.\,\contact_us_failed_title\:\Failed to copy e-mail address.\,\contact_us_failed_description\:\Please try again.\,\other_positions_first_interview\:\First Interview (Online, with Working-Level Staff)\,\other_positions_second_interview\:\Third Interview (with the CEO)\,\object_detection_sub_title\:\It is a computer vision technology that finds various objects such as people, vehicles, and objects from images or videos, and identifies the location and type of the objects. It recognizes objects and designate boundaries in real time by utilizing artificial intelligence (AI) and deep learning.\,\object_detection_title_1\:\Object Detection\,\object_detection_description_1\:\Spots objects in 2D space and outlines them with bounding boxes for quick, accurate recognition\,\object_detection_title_2\:\Reliable Detection in Any Condition\,\object_detection_description_2\:\Enhances performance in tough lighting or weather by combining visible and non-visible imaging, like thermal and near-infrared\,\object_detection_title_3\:\3D Spatial Awareness\,\object_detection_description_3\:\Adds depth to detection—estimating where an object is, how big it is, and which way it’s facing\,\object_detection_title_4\:\Sensor Fusion\,\object_detection_description_4\:\Fuses input from LiDAR, radar, and cameras to boost accuracy and trust in complex environments\,\depth_estimation_sub_title\:\It is a computer vision technology that predicts distance information between an object and a camera from images or videos. It can calculate depth in 3D space by utilizing visual information from a single or multiple cameras.\,\depth_estimation_title_1\:\Monocular Depth Estimation\,\depth_estimation_description_1\:\Infers depth using a single camera, making it a cost-effective solution for scenarios where complex sensors aren’t viable\,\depth_estimation_title_2\:\LiDAR-Free Point Cloud Simulation\,\depth_estimation_description_2\:\Generates LiDAR-like point cloud data from mono or stereo cameras—ideal for environments where LiDAR is impractical\,\depth_estimation_title_3\:\Multi-Camera Depth Estimation\,\depth_estimation_description_3\:\Calculates depth more precisely by analyzing differences between images from multiple cameras\,\depth_estimation_title_4\:\Real-Time 3D Scene Modeling\,\depth_estimation_description_4\:\Uses depth data to build 3D models of the environment, enabling systems to interpret and interact with complex scenes in real time\,\semantic_understanding_sub_title\:\It is a computer vision technology that analyzes scenes from images or videos to identify the types, relationships, and contexts of objects. It utilizes artificial intelligence (AI) to interpret the meaning of not only individual objects but also the entire scene.\,\semantic_understanding_title_1\:\Scene Layout \u0026 Pixel-Level Classification\,\semantic_understanding_description_1\:\Classifies each pixel into defined object categories, helping the system grasp the complete layout and content of a scene\,\semantic_understanding_title_2\:\Object Identification \u0026 Segmentation\,\semantic_understanding_description_2\:\Distinguishes between individual objects within the same category—like separating multiple vehicles in a single frame\,\semantic_understanding_title_3\:\Complete Scene Representation\,\semantic_understanding_description_3\:\Combines semantic and instance segmentation to label both objects and background, delivering a fully detailed view of every scene component\,\semantic_understanding_title_4\:\Spatial Context \u0026 Object Relationships\,\semantic_understanding_description_4\:\Captures how objects relate to each other within a scene, enabling high-level situational awareness for complex applications\,\unmanned_sub_title\:\In order to respond quickly and actively to unpredictable emergency situations such as fires, the introduction of an unmanned system is essential.\,\unmanned_title_1\:\Rack Design\,\unmanned_description_1\:\The rack design technology for mounting battery modules inside BESS Container\,\unmanned_title_2\:\Container Door\,\unmanned_description_2\:\Technology that automatically opens and closes the container door before module removes the unmanned condition\,\unmanned_title_3\:\Moving to AMR\,\unmanned_description_3\:\Technology that allows AMR to autonomously and quickly find its way to a designated location in moving\,\unmanned_title_4\:\Unmanned Ejection\,\unmanned_description_4\:\Unmanned removal technology when abnormality is detected in a module mounted on a rack\,\unmanned_title_5\:\AMR\,\unmanned_description_5\:\A movement technology for rapid transport to a designated location after module is removed unmanned\,\battery_design_sub_title\:\We implement advanced battery designs reflecting leading and up-to-date trends and global standards.\,\battery_design_title_1\:\High Energy Density\,\battery_design_description_1\:\Design technology to maximize BESS energy density within limited container capacity\,\battery_design_title_2\:\Docking Technology\,\battery_design_description_2\:\Design technology to connect power, communication, and cooling systems to the rear side with one-touch system when connecting the battery module\,\battery_design_title_3\:\CAE\,\battery_design_description_3\:\Technology to analyze fluid, heat, vibration, and durability of designed battery modules and BESS\,\battery_design_title_4\:\Cost Optimization\,\battery_design_description_4\:\Design technology to optimize cost while maximizing BESS energy density\,\battery_design_title_5\:\Immersion Technology\,\battery_design_description_5\:\Design technology that locks the cooling system and opens the internal immersion valve to immerse the entire battery module in liquid when an event occurs\,\quality_management_sub_title\:\Based on a standardized system, we provide the competitive battery pack that meets global standards.\,\quality_management_title_1\:\Country-specific Certification\,\quality_management_description_1\:\Technology to obtain BESS including battery modules in compliance with national certification requirements\,\quality_management_title_2\:\Electromagnetic Certification (EMI/EMC)\,\quality_management_description_2\:\Technology to certify electromagnetic interference and suitability of BMS installed in battery modules and ESS (EMI/EMC)\,\quality_management_title_3\:\Transport Safety Certification (UN DOT38.3)\,\quality_management_description_3\:\Technology that certifies safety through simulation of risks that may occur during the transportation of lithium-ion battery modules and BESS\,\data_science_sub_title\:\With DeltaXs proven cutting-edge AI computer vision solutions, we effectively solve problems that customers are facing in the battery field and provide future-oriented value.\,\data_science_title_1\:\BMS Design\,\data_science_description_1\:\Technology for designing hardware for battery management systems\,\data_science_title_2\:\Functional Safety\,\data_science_description_2\:\Design technology suitable for the functions suggested by the Battery Management System Certification Agency for safety\,\data_science_title_3\:\EIS Technology Application\,\data_science_description_3\:\Technology to predict the life (SOH) of a battery module\,\data_science_title_4\:\EMS Design\,\data_science_description_4\:\Technology to efficiently monitor and manage the use and supply status of electricity in ESS in real time\,\data_science_title_5\:\Firmware Design\,\data_science_description_5\:\Technology to design firmware of battery management system\,\data_science_title_6\:\Sensor Technology Application\,\data_science_description_6\:\Technology to detect abnormalities in the battery module in advance\,\data_science_title_7\:\Wireless Technology Application\,\data_science_description_7\:\Technology to connect multiple BMSs wirelessly, eliminating the existing harness system (cable)\,\data_science_title_8\:\PCS Design\,\data_science_description_8\:\Technology that converts the characteristics of electricity to store or release power on ESS\,\solution_sub_title\:\Solutions that drive growth and shape the future.\,\solution_mvas_icms_sub_title\:\Enhancing safety and comfort with a cost-effective solution that uses a single in-cabin camera to monitor driver drowsiness and attention, detect passenger presence, and verify seatbelt usage.\,\solution_mvas_hand_gesture_description\:\Uses in-cabin cameras to recognize hand movements and gestures, enabling intuitive control of vehicle functions without the need for buttons or touch. Enhances both convenience and safety by allowing drivers to interact with the system without distraction.\,\solution_ivas_human_safety_detection_description\:\AI-powered vision technology designed to protect workers and prevent accidents in industrial settings. Enables real-time monitoring in high-risk environments such as manufacturing, construction, logistics, and heavy industry.\,\solution_ivas_fire_detection_description\:\AI-based technology that detects fires in real time and issues early warnings to minimize damage. It plays a critical role in enabling fast response and protecting both people and assets in industrial environments.\,\solution_ivas_manufacturing_quality_inspection_description\:\Applies DeltaX AI models to standard industrial camera input to ensure operational efficiency and quality. Key applications include real-time defect detection, process optimization, and predictive maintenance—powering safer, smarter, and more efficient manufacturing environments.\,\use_cases_sub_title\:\DeltaXs Approach to Problem Solving\,\use_cases_360_degree_surround_view_monitoring_title\:\AI-Powered 360° Surround View System\,\use_cases_360_degree_surround_view_monitoring_sub_title\:\Delivers a seamless, high-quality integrated view using strategically placed cameras and advanced image stitching technology\,\use_cases_360_degree_surround_view_monitoring_identify_problem\:\Delivery vehicle drivers faced persistent visibility issues due to large blind spots at the front and rear of the vehicle. These limitations were especially problematic in urban areas and during complex parking situations, significantly increasing the risk of collisions.Beyond safety, restricted visibility also contributed to elevated driver stress and reduced overall operational efficiency.\,\use_cases_360_degree_surround_view_monitoring_approach\:\To solve this, we deployed a multi-camera system strategically positioned around the vehicle, supported by advanced image stitching technology. We developed a high-performance algorithm capable of real-time video processing, merging footage from individual cameras into a seamless, unified view. By optimizing feature detection and stitching techniques, we ensured stable, high-quality visuals without interruption.\,\use_cases_360_degree_surround_view_monitoring_solution_delivered\:\Drivers are now equipped with an intuitive bird’s-eye interface that provides a full 360° real-time view of their surroundings. The result: fewer collisions, lower driver stress, faster parking, and measurable improvements in overall productivity. This innovation also played a key role in advancing safety standards across the transportation industry.\,\use_cases_drone_battlefield_surveillance_title\:\AI-Powered Aerial Surveillance \u0026 Target Identification System\,\use_cases_drone_battlefield_surveillance_sub_title\:\Utilizes a monocular camera and SLAM technology to accurately locate enemy targets and calculate distance and direction in real time.\,\use_cases_drone_battlefield_surveillance_identify_problem\:\Traditional ground-based surveillance systems faced serious limitations in mountainous or urban environments due to blind spots. 2D video analysis lacked the precision required for accurate distance and elevation measurement, making it difficult to execute targeted strikes—especially in low-visibility conditions like nighttime or bad weather. Fixed surveillance equipment also struggled to adapt to rapidly changing battlefield conditions, offering limited real-time updates.\,\use_cases_drone_battlefield_surveillance_approach\:\We equipped drones with monocular cameras capable of collecting real-time 3D point cloud data, combined with deep learning-based object detection to automatically identify enemy targets. The data is processed using a custom-developed SLAM (Simultaneous Localization and Mapping) algorithm to generate precise 3D coordinates, enabling accurate calculation of both distance and direction to targets. We also implemented real-time data streaming to maintain stable communication with ground control and built a wide-area surveillance network through coordinated multi-drone operations.\,\use_cases_drone_battlefield_surveillance_solution_delivered\:\The system enables real-time, high-precision enemy tracking using point cloud technology, while autonomous drone flight allows for 24/7 all-weather monitoring. Collected 3D data integrates directly with command-and-control systems, enabling immediate fire support and comprehensive battlefield awareness through multi-drone coverage. AI-powered threat analysis also allows for predictive tracking of enemy movement and optimized response strategies—delivering a clear tactical advantage.\,\use_cases_worker_safety_detection_title\:\AI-Powered Worker Safety Detection \u0026 Risk Alert System\,\use_cases_worker_safety_detection_sub_title\:\Applies intelligent video analytics and AI models to monitor worker safety in real time and instantly detect hazardous situations.\,\use_cases_worker_safety_detection_identify_problem\:\In automotive body manufacturing, full automation is often limited by the complexity of tasks—making human involvement unavoidable. As a result, workplace accidents remain frequent. Traditional CCTV systems require constant manual monitoring and are limited to post-incident response. In environments where installing or operating CCTV is difficult, blind spots emerge, making immediate action nearly impossible.\,\use_cases_worker_safety_detection_approach\:\We developed an AI-powered system for real-time worker detection and hazard alerts, enabling immediate response to safety risks. By applying intelligent video analytics, the system proactively analyzes early signs of danger and shifts monitoring from reactive to active. Ongoing data collection and continuous AI model improvement help increase system accuracy over time.\,\use_cases_worker_safety_detection_solution_delivered\:\By integrating AI with CCTV-based smart safety cameras, the system detects accidents as they happen and alerts operators in real time. A centralized monitoring dashboard with built-in privacy features ensures both efficient oversight and data protection. Capabilities like PPE detection and fall detection enable quick responses to critical situations—reducing incidents and boosting productivity.\,\use_cases_fire_detection_title\:\AI-Powered Real-Time Fire Detection \u0026 Response System\,\use_cases_fire_detection_sub_title\:\Uses CNN (Convolutional Neural Network) algorithms and edge computing to analyze flame spectrum data in real time, enabling fast and highly reliable fire detection.\,\use_cases_fire_detection_identify_problem\:\Electric vehicle battery systems are at risk of chain-reaction fires due to thermal runaway. Conventional R-type heat detectors and photoelectric smoke sensors struggle to perform in outdoor environments with heights of 6 to 12 meters. These systems are prone to false alarms due to threshold limitations and failure to meet IP66 standards. Additionally, lithium-ion battery fires can exceed 300°C and emit toxic gases—posing severe challenges to early detection using traditional methods.\,\use_cases_fire_detection_approach\:\We applied deep learning-based CNN (Convolutional Neural Network) algorithms to analyze flame spectral patterns in real time and perform multi-stage validation. A distributed edge computing architecture processes video at sub-second speeds per camera, while detecting flame-specific wavelengths (around 4.3μm) to ensure high reliability and low latency.\,\use_cases_fire_detection_solution_delivered\:\By analyzing real-time video streams through object detection models, the system identifies fire patterns instantly and enables sub-100ms monitoring via WebRTC protocol. It accurately tracks the fire’s origin point and integrates with a GIS-based control platform to provide 3D mapping of the location and recommend optimal suppression routes.\,\use_cases_parts_defect_detection_title\:\AI-Powered Automated Defect Detection System\,\use_cases_parts_defect_detection_sub_title\:\Uses existing CCTV infrastructure and machine learning algorithms to automatically detect cracks and defects in components, with continuous improvement in precision over time.\,\use_cases_parts_defect_detection_identify_problem\:\In Company K’s automotive manufacturing process, traditional crack and hole inspections relied heavily on manual labor—leading to inefficiencies, high costs, and inconsistent results. Human inspectors often struggled to detect subtle defects, making it difficult to ensure consistent quality and safety. The goal was to modernize defect detection using existing CCTV infrastructure.\,\use_cases_parts_defect_detection_approach\:\We implemented an AI-powered vision system that leverages the existing CCTV infrastructure to monitor production quality in real time. Using machine learning, the system automatically detects cracks, holes, and surface defects—improving in accuracy and speed as it processes more data.\,\use_cases_parts_defect_detection_solution_delivered\:\The system significantly improved inspection efficiency and reduced labor costs, while enabling early detection of even minor defects. This not only enhanced product quality but also supported timely maintenance and safer working conditions—allowing teams to operate more proactively and cost-effectively.\,\use_cases_process_optimization_title\:\AI-Powered Edge Detection \u0026 Manufacturing Optimization System\,\use_cases_process_optimization_sub_title\:\Uses computer vision and video analytics to detect blank steel edges in real time and maintain high precision throughout the manufacturing process.\,\use_cases_process_optimization_identify_problem\:\Legacy quality control systems struggled to reliably detect the edges of blank steel sheets. Relying on manual monitoring often led to missed detections and delayed responses—especially under low lighting or variable conditions like night shifts. These limitations not only impacted accuracy but also introduced defects into the production line, highlighting the need for a more intelligent and responsive solution.\,\use_cases_process_optimization_approach\:\We deployed an AI-powered vision system designed to overcome the limitations of traditional CCTV setups. Using advanced video analytics, the system automatically detects edges based on variations in brightness, color, and texture—delivering consistent, high-precision results even in challenging environments. This capability allows for more accurate edge detection, helping maintain strict quality standards across the entire manufacturing process.\,\use_cases_process_optimization_solution_delivered\:\The system enabled real-time edge detection with high reliability, regardless of lighting changes or network disruptions. As a result, it helped reduce defects, optimize productivity, and improve overall manufacturing efficiency. With less reliance on manual inspection, teams can now focus on higher-value tasks—supporting smarter, more streamlined operations.\,\contact_us_ask_about_deltaX\:\Looking to connect with DeltaX?\,\contact_us_additional_details\:\We’re happy to answer any questions—feel free to contact us at any time\,\contact_us\:\Contact Us\,\partners_sub_title\:\Partners who have worked with DeltaX\,\business_sub_title\:\DeltaX’s Sustainable Business Model\,\business_ai_sub_title\:\Driving a smart future beyond the boundaries of mobility and industry\,\business_ess_sub_title\:\Maximizing optimal energy management and safety\,\view_more_details\:\Learn More\,\read_more\:\Read More\,\our_vision_description\:\DeltaX is a Total AI Solution provider specializing in Computer Vision and Battery Energy Storage Systems (BESS). We solve real-world challenges and create lasting value through innovation. Under the vision of “Empowering the Future with AI,” we’re committed to driving customer success and leading the global evolution of AI technologies.\,\innovation\:\Innovation\,\our_vision_innovation_description\:\We continuously push the boundaries of AI to discover new possibilities and deliver standout solutions for our customers.\,\expertise\:\Expertise\,\our_vision_expertise\:\Our team combines top-tier talent with cutting-edge technology to deliver solutions that go beyond industry standards.\,\accuracy\:\Precision\,\our_vision_accuracy\:\We maximize the accuracy of our systems through advanced algorithms and deep data analysis—ensuring reliable, real-world performance.\,\scalability\:\Scalability\,\our_vision_scalability\:\Our flexible technologies are built to adapt across industries and applications, empowering our clients to scale with confidence.\,\history_sub_title\:\The DeltaX Journey\,\2020_09_deltax_establishment\:\DeltaX Founded\,\2020_11_winner_ai_champion\:\1st Place, AI Championship 2020 - Minister of SMEs and Startups Award\,\2020_12_2nd_place_in_the_dream_ai\:\2nd Place, AI Solution Contest - GIST (Gwangju Institute of Science and Technology) President’s Award\,\2020_12_testbed_korea\:\Grand Prize, AI Testbed Korea: Industrial Intelligence Contest - Regional SMEs and Startups Office\,\2021_02_ai_technology_certification\:\Certified AI Technology Provider - Korea Artificial Intelligence Association\,\2021_02_ai_data_voucher_program\:\Selected AI Data Voucher Supplier - Korea Data Agency\,\2021_03_kised\:\Selected for In-house Venture Program - Korea Startup Promotion Agency\,\2021_05_top_1000_innovative_companies_in_Korea\:\Selected as one of the Top 1,000 National Innovation Companies - Ministry of SMEs and Startups\,\2021_05_certificate_of_corporate_research_institute\:\Certified Corporate R\u0026D Center - Ministry of Science and ICT\,\2021_07_software_vendor_verification\:\Registered Software Business Operator - Korea Software Industry Association\,\2021_07_verified_as_a_startup\:\Certified Startup Company - Ministry of SMEs and Startups\,\2021_09_venture_business_verification\:\Certified Venture Company - Venture Certification Authority\,\2021_10_iccv\:\Ranked #1 Worldwide in Instance Segmentation at ICCV 2021 (International Conference on Computer Vision)\,\2021_12_grand_prize_in_autonomous_driving_data_competition\:\Grand Prize, Autonomous Driving Data Challenge - Korea Transportation Safety Authority\,\2022_06_autobahn_Korea\:\Selected as Top Innovation Startup at Startup Autobahn Korea - Ministry of SMEs and Startups \u0026 Mercedes-Benz\,\2022_11_open_innovation_lounge\:\Finalist, Hyundai·Kia 2022 Open Innovation Lounge.\,\2022_11_conducted_poc_with_hanwha_systems\:\Proof of Concept completed with Hanwha Systems - Startup Autobahn Korea\,\2022_12_eccv\:\2nd Place, Object Detection Challenge at ECCV 2022 (European Conference on Computer Vision)\,\2023_03_professional_research_business\:\Certified Specialized Research Provider - Ministry of Science and ICT\,\2023_03_lgd_startup_challenge_2022\:\Named Top Startup at LG Display’s “Startup Challenge 2022”\,\2023_05_ai_technology_award\:\Received AI Technology Award - Korea AI Association\,\2023_05_awarded_the_ai_investment_award\:\Received AI Investment Award - Korea AI Association\,\2024_01_lgd_dream_play\:\Selected for LG Display “Dream Play 2024” Program\,\2024_01_korea_automotive_technology_institute\:\Designated Leading Company in Autonomous Sensing - Korea Automobile Research Institute\,\2024_01_ces\:\Exhibited at CES Eureka Park 2024\,\2024_08_automotive_camera_solution\:\Selected by Korea Smart Village Association as flagship for Autonomous Driving: Automotive Camera Solution\,\2024_08_pre_a\:\Surpassed 6 billion KRW in cumulative investment (Pre-Series A)\,\2024_11_china_hi_tech_fair_in_shenzhen\:\Exhibited at China Hi-Tech Fair 2024 (Shenzhen)\,\2024_11_sk_on_ess\:\Partnered with SK-On for next-gen ESS development (domestic \u0026 North American markets)\,\2025_01_ces\:\Exhibited at CES Eureka Park 2025\,\a_team_member_with_the_best_skills\:\Our Team of Top Talent\,\secretariat\:\Executive Office\,\secretary\:\Executive Support\,\hr_lab\:\HR LAB\,\hr_tasks\:\Human Resources, General Affairs, Intellectual Propery \u0026 Research Grants / Finance \u0026 Accounting\,\robotics_division\:\Robotics Division\,\head_of_next_generation_ess_business\:\Next-Generation ESS Business Unit\,\ai_division\:\AI Division\,\ai_division_tasks\:\AI Business Strategy \u0026 Operations\,\ai_lab\:\AI LAB\,\ai_lab_tasks\:\AI Development \u0026 Engineering\,\data_lab\:\DATA LAB\,\data_lab_tasks\:\AI Data Management\,\cc_lab\:\CC LAB\,\cc_lab_tasks\:\Creative Content \u0026 Multimedia Design\,\achievement_sub_title\:\DeltaXs Achievements\,\applications\:\applications\,\registrations\:\registrations\,\and\:\and\,\case\:\\,\total\:\total\,\papers\:\papers\,\paper_railway_worker\:\Depth Estimation and GPS-Based Localization Framework for Railway Worker Safety\,\paper_cyber_threat_analysis_and_response_system\:\AI-based Cyber Threat Analysis and Response System\,\paper_visualization_of_indoor_and_outdoor_building_footage\:\3D Visualization of Building Interiors and Exteriors Captured by Unmanned Systems (Ground Robots, Drones, etc.)\,\projects_carried_out_by_deltaX\:\DeltaX Projects\,\projects_mvas_next_gen_icms_by_company_f\:\Company F - Next-Generation ICMS Development (2024)\,\projects_mvas_next_gen_icms_by_company_f_description\:\Developed an AI model using a single in-cabin camera to monitor driver drowsiness, gaze direction, hand positioning, and passenger activity in both front and rear seats. Following a successful initial PoC, DeltaX was selected as the sole partner for Phase 2, focusing on enhanced detection accuracy and adaptive logic for seat adjustment based on driver arm length.\,\projects_mvas_k_corp_builds_next_gen_adas\:\Company K - Next-Generation ADAS System (2024)\,\projects_mvas_k_corp_builds_next_gen_adas_description\:\Created AI models using existing vehicle cameras to detect road hazards like potholes and provide real-time visual feedback during driving. Enhanced driver awareness through features such as static object detection, multi-camera image stitching, and wide-angle distortion correction.\,\projects_mvas_k_company_autonomous_driving\:\Company K - Autonomous Driving Technology Development (2023-2027)\,\projects_mvas_k_company_autonomous_driving_description\:\Developing a multi-camera 3D perception system to recognize road environments and dynamic objects for autonomous driving. Key tasks include optimizing object prediction algorithms for TI edge devices and building 3D reconstruction and mapping capabilities.\,\projects_ivas_factory_defect_detection_by_k_company\:\Company K - Factory Defect Detection Solution (2024)\,\projects_ivas_factory_defect_detection_by_k_company_description\:\Developed an AI-based defect detection system using 42 cameras for full-area monitoring, replacing a foreign Carl Zeiss solution with a Korean software alternative. Delivered real-time worker detection and zone-based human presence tracking, along with a vision system for detecting panel cracks and holes.\,\projects_ivas_export_yard_fire_inventory_solution_by_h_company\:\Company H - Fire Detection \u0026 Inventory Management for Export Yards (2024)\,\projects_ivas_export_yard_fire_inventory_solution_by_h_company_description\:\Created an AI model for fire risk detection and vehicle inventory tracking during the EV pre-shipment stage. Developed a vision-based system using 36 RGB-IR cameras for real-time fire monitoring and vehicle tracking, with plans to expand into full-scale control system integration.\,\projects_ivas_press_plant_worker_detection_by_h_corp\:\Company H - Worker Detection in Press Factory (2024)\,\projects_ivas_press_plant_worker_detection_by_h_corp_description\:\Deployed DeltaX’s real-time worker detection solution at one of the largest EV manufacturing plants in the U.S. Built a system to identify worker presence in and around hazardous zones to enhance on-site safety.\,\we_respect_all_employees\:\We respect every member of our team\,\horizontal_organizational_culture\:\Flat Organization Culture\,\horizontal_organizational_culture_description\:\We use “님” and “Researcher” to maintain non-hierarchical collaboration.\,\global_talent\:\Global Talent\,\global_talent_description\:\We embrace diversity and actively recruit talent from around the world.\,\self_management_system\:\Autonomy \u0026 Responsibility\,\self_management_system_description\:\Team leaders and members decide autonomously.\,\aiming_for_self_driven_talent\:\We embrace new challenges and seek self-driven talent\,\spirit_of_challenge\:\Challenger Spirit\,\spirit_of_challenge_description\:\We constantly explore better solutions through bold thinking and a willingness to go beyond convention.\,\communication\:\Communication\,\communication_description\:\We work closely across teams to tackle technical challenges with fresh, creative approaches.\,\growth_potential\:\Growth Potential\,\growth_potential_description\:\We’re looking for people who want to grow with us and share in our long-term mission.\,\we_provide_a_work_environment\:\We provide a workspace employees can focus\,\various_rest_areas\:\Various rest areas\,\various_rest_areas_description\:\We implement employee-centered welfare to improve productivity and pursue work-life balance.\,\flexible_vacation_usage\:\Flexible Vacation\,\flexible_vacation_usage_description\:\We encourage time off and make it easy for all to take the rest they need.\,\recruitment_banner_title\:\We always welcome you who want to take on challenges with DeltaX.\,\recruitment_banner_sub_title\:\If youre someone who embraces change and strives for growth, you’ll fit right in at DeltaX.\,\hiring_process\:\Recruitment Criteria\,\new_hire\:\Entry-Level\,\10_years_of_experience\:\10년차 이상\,\high_school_diploma_or_higher\:\highschool diploma or higher\,\associate_degree_or_higher\:\associate degree or higher\,\bachelors_degree_or_higher\:\bachelors degree or higher\,\masters_degree_or_higher\:\masters degree or higher\,\doctoral_degree_or_higher\:\doctoral degree or higher\,\below\:\below\,\higher\:\higher\,\year\:\\,\link\:\link\,\overseas_offices_sub_title\:\Global Offices Supporting DeltaX’s International Growth\,\overseas_offices_india_description\:\The India office was established to secure and organize specialized manpower to set AI learning data. In the future, it will be expanded to a core hub for computer vision-based AI development and serve as a strategic outpost for DeltaX’s overseas market expansion.\,\overseas_offices_india_job_title_1\:\Perform specialized annotation\,\overseas_offices_india_job_description_1\:\Perform annotation based on Images and videos specialized in autonomous driving, smart factory, and retail fields\,\overseas_offices_india_job_title_2\:\Precise data tagging\,\overseas_offices_india_job_description_2\:\Precise data tagging tasks such as bounding box, segmentation, and keypoint\,\overseas_offices_india_job_title_3\:\Training and work standardization\,\overseas_offices_india_job_description_3\:\Training and work standardization of annotation tools such as CVAT\,\overseas_offices_india_job_title_4\:\Support data processing automation and expansion\,\overseas_offices_india_job_description_4\:\Support automation and expansion of AI learning data processing through future collaboration with the Korea headquarter\,\overseas_offices_usa_description\:\The North American branch was established to commercialize artificial intelligence and energy storage system (ESS) technology targeting the North American region. In the future, it plans to play a pivotal role in establishing a production line in US and securing a brand trust base in the local market.\,\overseas_offices_usa_job_title_1\:\Response to system design and technical data\,\overseas_offices_usa_job_description_1\:\Response to system design and technical data in accordance with local ESS regulations and certification requirements\,\overseas_offices_usa_job_title_2\:\Meet procurement requirements and establish export structures\,\overseas_offices_usa_job_description_2\:\Meet procurement requirements through local corporation operations and establish export structure to North America\,\overseas_offices_usa_job_title_3\:\PoC and customization development\,\overseas_offices_usa_job_description_3\:\Develop AI-based video processing solution PoC and customization for customers in the US\,\overseas_offices_usa_job_title_4\:\Maintain global business consistency\,\overseas_offices_usa_job_description_4\:\Maintain global business consistency by strengthening technology linkage among local corporations and Korea headquarter\,\overseas_offices_usa_job_title_5\:\Establish a mass production response system for North America\,\overseas_offices_usa_job_description_5\:\Establish a system to respond to the mass production of BESS products in North America under joint development with SK On\,\year_of_establishment\:\Establishment Year\,\address\:\Address\,\contact_information\:\Contact\,\consultation_title\:\We offer new experiences beyond technology.\,\consultation_description\:\Do you have any questions? Feel free to contact us anytime we will respond quickly and accurately.\,\required_field\:\Required field\,\category_placeholder\:\Please select a category.\,\name_placeholder\:\Please enter your name.\,\phone_number_placeholder\:\Please enter your phone number.\,\email_placeholder\:\Please enter your email.\,\company_placeholder\:\Please enter your company name.\,\job_title_placeholder\:\Please enter your job title.\,\contents_placeholder\:\Please enter your inquiry.\,\category_required\:\Please select a category.\,\whitespace_only_not_allowed\:\Whitespace-only input is not allowed.\,\numbers_only\:\Please enter numbers only (e.g., 01012345678).\,\invalid_email\:\Please enter a valid email address.\,\max_length_1000\:\Please enter fewer than 1000 characters.\,\fill_in_proper_format\:\Please fill it out in the proper format.\,\inquiry_send_failure\:\Failed to send inquiry.\,\required\:\(Required)\,\have_read_the_privacy_policy\:\I have read the Privacy Policy \,\agree_to_the_collection_information\:\and agree to the collection and use of my personal information.\,\inquiry_successfully_received_title\:\Your inquiry has been successfully received.\,\inquiry_successfully_received_description\:\A representative will review it and get back to you as soon as possible.\,\home\:\Go to home\,\submit\:\Submit\,\job_information\:\Job Information\,\responsibilities\:\Responsibilities\,\qualifications\:\Qualifications\,\preferred_qualifications\:\Preferred Qualifications\,\application_method\:\Application Method\,\application_method_item_1\:\You can apply via LinkedIn, JobKorea, or email.\,\application_method_item_2\:\Submit your resume in Korean or English as a PDF file.\,\recruitment_process\:\Recruitment Process\,\apply_now\:\Apply Now\,\linkedin\:\LinkedIn\,\jobkorea\:\JobKorea\,\saramin\:\Saramin\,\email\:\Email\,\speak_chatbot_title\:\Hello, Im the chatbot Lunel.\,\speak_chatbot_description\:\Please tell me what youre curious about using your voice.\,\chatbot_first_hello\:\Hello! 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