Using a higher-precision optical pressure-sensing principle, the system captures subtle pressure changes to enable effective data acquisition and collect more comprehensive information. The captured images are more accurate, complete, and detailed, effectively avoiding issues such as missing toes, missing arch regions, and jagged edges during data acquisition.
More than 200 foot-related parameters can be analyzed within one minute, generating a professional assessment report. The system provides a comprehensive evaluation of gait parameters through three major modules: static foot shape, static plantar pressure, and dynamic gait, and supports six different dimensions of health risk assessment.
The core technology has been applied in the public security field for more than 20 years, and its safety, stability, and accuracy have been repeatedly verified. Through high-standard “police-to-civilian” technology transfer, the system has achieved full domestic localization.
The gait assessment algorithm system is entirely independently developed and has reached a globally leading level. Based on deep learning-based object detection and image segmentation technologies, it builds algorithms for static foot shape and plantar pressure analysis. Through markerless posture estimation and multi-camera vision reconstruction, it enables human joint point estimation, 3D human posture reconstruction, and calculation of body posture parameters in both static and dynamic states.
The device can capture up to 9 meters of gait data in a single acquisition, continuously recording 8–10 natural gait cycles, exceeding the international gait acquisition standard of 4 meters. This long-format walkway system captures more natural walking cycles, resulting in more stable gait data and more accurate quantitative evaluation results.
Through dynamic capture technology, the system intuitively generates plantar pressure distribution heat maps and real-time gait curves, enabling precise analysis of gait abnormalities and health conditions.
