Bringing visual perception into real-world applications, from development to volume production
Technology and products proven through deployment at scale
Our in-house multimodal palm cameras and biometric algorithms enable fast, accurate identity authentication for payments, access control and identity verification. Contactless operation combines security and convenience for a more natural user experience.
DEPTRUM combines palmprint and palm vein biometrics for secure, convenient authentication. Our palm cameras and AI recognition algorithms verify identities quickly without touching a device, improving access and management efficiency. Applications include security, access control, connected communities and transportation.
China's first metro line with palm payments brings seamless travel to passengers
The Daxing Airport Express deployment brings third-generation biometrics to rail transit. Palm recognition makes metro journeys more seamless, improves passenger throughput and extends the use of AI in public services.
China's first large sports venue demonstration project to use palm recognition across all service touchpoints
Yingdong Natatorium at the National Olympic Sports Center has introduced palm-based access. Multimodal biometric technology enables contactless access throughout the venue, making sports and fitness services more convenient.
Card-free access across a range of sports facilities
One of China's first multipurpose sports venues to adopt palm recognition, Shenzhen Bay Sports Center uses it for entry verification, locker access and deep-water swimming qualification checks. It supports activities such as swimming and basketball that typically require cards or wristbands.
A more convenient workout starts with palm-based check-in
SUPERMONKEY introduced palm recognition to fitness check-in. Multimodal biometrics verify identities quickly and without contact, addressing unauthorized use, queues and hygiene concerns associated with conventional QR-code check-in.
A leading Indonesian telecommunications operator
DEPTRUM supports Telkomsel's participation in Indonesia's Free Nutritious Meals program (MBG), which is expected to reach 82.9 million people by 2029. Palm recognition devices track community kitchen staff attendance and verify meal recipients. Digital records improve distribution accuracy and traceability while reducing duplicate or fraudulent collection.
Smart parcel lockers under SF Group
HIVE BOX and WeChat Pay have piloted palm-based parcel collection in selected areas of Shenzhen. Users authenticate with their palm to open the correct locker, without a phone, pickup code or QR scan. The contactless process simplifies collection, improves peak-time efficiency and adds biometric security.
China's largest smart storage service operator
Xiaotie uses palm recognition to let users access storage lockers without keys, wristbands or phones. Palm vein biometrics and liveness detection improve security, while contactless operation reduces shared touchpoints in frequently used locations such as gyms and shopping districts.
DEPTRUM's in-house dual-modal palm recognition technology enables secure, convenient contactless payments. A raised hand is all users need for identity and payment authentication. With established technology and volume production capabilities, DEPTRUM has deployed palm payments at scale across retail, dining, transportation and campuses, and continues to expand globally.
Palm payments available at more than 1,500 stores
As one of the first convenience store brands in China to support WeChat palm payments, 7-Eleven introduced the service at more than 1,500 stores. Palm biometrics make checkout smoother, improve throughput and reduce queues.
Kazakhstan's leading integrated payments ecosystem
Kaspi introduced palm payments in October 2025, followed by pilots at supermarkets and ATMs in Almaty in December, with a nationwide rollout beginning in 2026. After registering their palm vein data, users can make payments, withdraw cash and verify accounts without a phone or bank card.
Palm payments bring seamless refueling to more than 10,000 PetroChina service stations
PetroChina's palm payment system combines member identification, payment, loyalty points and electronic invoice requests in a single interaction after refueling. Drivers need neither a phone nor a physical card, and new customers can quickly register for the Kunlun e-Xiang membership program.
China's first university-wide palm recognition system
Shenzhen University's palm recognition system provides secure, contactless authentication. After registering a palmprint and linking it to a WeChat campus code, users can pay at dining halls, convenience stores and other campus facilities with a simple palm scan, without a phone or physical card.
Recognition in 1 second. Just 2 steps. Power bank ready in 5 seconds.
Jiedian brings multimodal palm biometrics to shared power bank services. Fast, accurate recognition lets users rent a charger even when their phone has no battery or poor signal, making the service easier to access.
DEPTRUM provides 3D depth vision for robots using in-house stereo vision, structured light and sToF technologies. Our products support perception, localization, mapping, scene recognition and obstacle-aware navigation across cleaning, delivery, education and healthcare applications, helping robots operate reliably in real environments.
DEPTRUM combines ToF, structured light and sToF technologies to meet the needs of commercial robots. Our vision solutions support environmental perception, localization, obstacle avoidance and autonomous movement, with applications in ROS education, massage therapy, commercial cleaning, lawn mowing and medical delivery.
Guyueju's Origin Car Pro is a mobile robot designed for ROS education, equipped with DEPTRUM's Aurora 933 structured-light 3D depth camera. Its compact design makes integration straightforward, while a high-performance ISP and depth processing chip provide color, infrared and depth data. Stable 3D perception within 3 meters supports autonomous obstacle avoidance and path planning.
StormRobot's Xingyao AI massage therapy robot uses DEPTRUM's Aurora 930 structured-light 3D depth camera to capture body contours and position. This visual data supports acupoint identification, massage path planning and force control. The Aurora 930 captures stable depth data in conditions including low light and backlighting.
Yiqi Weilai's R2 intelligent massage robot integrates DEPTRUM's Aurora 930 structured-light 3D depth camera. It rapidly captures 3D body data to track contours and spatial position in real time, supporting acupoint identification, path planning and force control for more consistent massage performance.
Shangyue Liangshi's Jingdundun stone care robot uses DEPTRUM's Aurora 930 structured-light 3D depth camera. By sensing complex environments and obstacles in 3D, the robot can plan paths, avoid obstacles and move autonomously, improving the efficiency and consistency of stone maintenance.
SUMEC's YARD FORCE commercial robotic lawn mower uses DEPTRUM's Stellar 400 3D vision solution. Autonomous mapping, precise localization and obstacle avoidance support operation in complex outdoor environments, alongside automatic charging and rain avoidance.
TMi medical delivery robots use DEPTRUM's Aurora 930 structured-light 3D depth camera to sense their surroundings and obstacles. They can avoid obstacles, use elevators and deliver across floors without dedicated markers. 3D vision supports autonomous movement and transport through complex hospital spaces, reducing repetitive delivery work for healthcare staff.
DEPTRUM combines its in-house nanophotonic chips and sToF technology with the strengths of structured light and ToF for robot vacuums. Accurate 3D point clouds across a wide field of view and near-to-far distances support mapping, obstacle avoidance and cleaning path planning, extending robot operation into three-dimensional spaces.
The MOVA P60 flagship robot vacuum integrates DEPTRUM's Nebula 240 MIPI depth camera for 3D visual perception, fast mapping and precise obstacle avoidance. Stable depth sensing in low light, together with an 82 mm slim body, helps the robot clean beneath sofas, beds and other furniture.
The Dreame L60 Ultra uses DEPTRUM's Nebula 280 depth camera in a single-ToF vision solution that combines obstacle avoidance and 3D SLAM. Built for volume production using DEPTRUM's sToF technology, it replaces conventional LDS lidar while maintaining accurate perception and reducing body height to 8.2 cm. 3D reconstruction and AI vision support environmental perception, object recognition and intelligent cleaning decisions.
View Nebula 280 resourcesDEPTRUM's 3D vision solutions give embodied AI robots high-quality spatial data for environmental perception, localization, mapping, object recognition and autonomous navigation. This helps robots understand complex environments and perform tasks more effectively.
Noetix Robotics' home humanoid robots use DEPTRUM's 3D SLAM solution for embodied AI. The Nebula 411 depth camera and HyperCube 3D SLAM algorithm provide mapping, localization, navigation and obstacle avoidance. Designed for the compact size, limited computing resources and high integration needs of consumer robots, the solution brings 3D perception to volume-produced home humanoids.
View Nebula 411 resourcesDEPTRUM and Noematrix have formed a strategic partnership focused on onboard visual perception and data collection for embodied AI robots. DEPTRUM provides 3D vision hardware and algorithms, while Noematrix contributes its software platform and system integration expertise. Together, they support technology adaptation, integration and deployment in embodied AI applications.
DEPTRUM has signed a strategic cooperation agreement with Wuxi Liangxi Science and Technology City Digital Economy Industry Development Group. The partners will collaborate on embodied AI data collection, application deployment and hardware R&D, combining technical expertise, industry resources and access to real-world applications to strengthen the regional embodied AI ecosystem.
