Galaxy Water Drop Technology (Jiangsu)

About Galaxy Water Drop Technology (Jiangsu)

Galaxy Water Drop Technology (Jiangsu) Co., Ltd., operating as Watrix, is a computer vision and big data analytics firm specializing in gait recognition. The company was established in 2016, originating from technology incubated at the prestigious Institute of Automation of Chinese Academy of Sciences (CASIA).

The founding of Watrix is directly linked to the academic work of its CEO, Huang Yongzhen. Prior to launching the company, Huang was a researcher and associate professor at CASIA, where his work focused on pattern recognition and computer vision. This deep academic background in the underlying science provides the foundation for the company's commercial offerings. The firm's core technology was inspired by research from the U.S. Defense Advanced Research Projects Agency (DARPA), which Huang's team then advanced and commercialized. A significant milestone was achieved in October 2018 when Watrix secured 100 million yuan (approximately $14 million USD) in a pre-A funding round to scale its research and business development efforts.

Watrix's primary business involves providing sophisticated identification solutions to enterprise-level clients, particularly in the security, transportation, and manufacturing sectors. Its business model centers on deploying its proprietary software system, “Shuidi Shenjian,” which enables clients to create and analyze private databases for identification purposes. This approach suggests a model based on enterprise software licensing and integrated solutions rather than a simple subscription service.

The company’s gait recognition software identifies individuals by analyzing their body shape, posture, and unique walking patterns. This technology can successfully identify a person from a distance of up to 50 meters, even if their face is covered or they are not looking at the camera. The system works by processing video footage to extract a person's silhouette and build a unique biomechanical model of their walk, reportedly achieving an accuracy rate of over 94%. This serves as a critical supplement to facial recognition, especially in scenarios with low light, long distances, or obscured faces. The system has been tested and used by public security departments in major Chinese cities, assisting in dozens of criminal investigations.