The technology can be used to quickly build 3D models of objects to provide consultants with an accurate reference and basis for software applications, data analysis, etc.

Human body scanning and measurement to help the fields of medicine, fitness and ergonomics with posture analysis, movement assessment and customized product design.

Captures and records gait information when the human body is walking, including parameters such as stride length, stride speed, gait cycle, and landing angle. By analyzing these parameters, doctors, rehabilitators and sports scientists can assess the normality, abnormality and symmetry of gait and diagnose and monitor gait disorders

Monitoring and Evaluation of Rehabilitation Treatment and Exercise Improvement. By performing gait scans on patients, healthcare professionals can track the progress of rehabilitation, assess the effectiveness of treatment, and provide accurate data to support the development of solutions.

Helps develop customized insole and orthotic designs. With a foot scan, insoles or orthotics can be formulated to meet individual needs, providing better support and alignment, improving walking posture and alleviating foot-related problems.

Flexible fabric sensors are based on a soft fabric material that conforms to the surface of the body or object to provide comfortable pressure sensing.

Flexible fabric sensors have highly accurate pressure measurement capabilities that can capture subtle pressure changes in real time and provide accurate measurement results.

Flexible fabric sensors are highly deformable and adaptable to application scenarios with different shapes and surfaces.

Flexible fabric sensors can be designed and manufactured to meet specific needs and can be flexibly integrated into different types of products and systems.

The Artificial Intelligence Visual Recognition technology eliminates the need for any contact sensors and allows for non-contact measurement of gait, providing a more comfortable and convenient monitoring experience.

Artificial intelligence visual recognition technology can analyze and recognize gait in real time, p roviding instant and accurate gait parameters and characteristics.

By analyzing and pattern recognition of large amounts of gait data through AI technology, the accuracy and reliability of gait monitoring can be improved, helping to detect hidden not-so-problems.

Artificial intelligence visual recognition technology allows for highly automated gait monitoring, reducing the need for manual manipulation and intervention. By using deep learning and computer vision algorithms, the system can automatically process and analyze gait images or videos to extract key gait features and parameters.

Through instant gait analysis and recognition, AI visual recognition technology can provide real-time feedback and personalized guidance. This is useful for rehabilitation training, exercise assistance and motor skill improvement, helping users make timely postural and gait adjustments to improve exercise results and reduce potential risks.