A technology-driven company in spatial intelligence perception and data capture
Changzhou Jilan Technology Co., Ltd. ("Gear-Lab") was founded in 2022 and is headquartered in Changzhou, Jiangsu Province. It is a technology-driven company focused on spatial intelligence perception and data capture. Guided by the mission "Boundless Perception, Data Empowerment," the company is committed to delivering high-precision, highly reliable positioning and data capture solutions for embodied AI, spatial computing, industrial IoT and other fields.
Gear-Lab owns fully proprietary indoor geo-magnetic + inertial fusion positioning algorithms (PDR), along with industry-leading ODM design and manufacturing capabilities for head-mounted visual data capture terminals. Our core technical team comes from renowned top-tier universities and leading technology companies, with extensive R&D experience in embedded systems, sensor fusion, wireless communications and related fields.
Committed to independent R&D, with sustained investment in core technologies such as geo-magnetic/inertial fusion positioning, multi-sensor synchronized capture and embedded vision processing.
End-to-end ODM service capability from requirements analysis to product delivery, responding rapidly to customized requirements from industry customers.
Products pass industrial-grade reliability verification and support Chinese national cryptography (SM) encryption and data masking, meeting high-security scenario requirements.
Deep cooperation with sensor chip vendors, AI algorithm companies and system integrators to build an open, collaborative industry ecosystem.
Geo-Magnetic + INS PDR Fusion Positioning: Fusion positioning based on geo-magnetic fingerprinting plus IMU inertial navigation — no additional base stations required, with meter-level indoor accuracy.
Multi-Sensor Synchronized Capture: Proprietary FSYNC hardware synchronization architecture delivering nanosecond-level time synchronization across multiple CMOS + IMU + magnetometer channels.
Embedded Edge Computing: On-device AI inference acceleration based on processors such as RK3576/V881.