Quick Set Up Embedded AI System Accelerating Intelligent Traffic Management

Aetina collaborates eco-partner Yuan integrate Aetina Embedded Edge AI Computing Platform with YUAN's video capture solutions and deep learning SDK, which reducing the loading of video decoding that let GPU focus on AI computing and providing quick embedded AI system setting for smart traffic applications.

Release The Intelligence In the Edge, AI And 5G Lead to Industry 4.0

Combined with Aetina Jetson edge AI computing platform and Millitronic’s 5G solution, this particular AI solution system realized real-time inference and high-speed data transmission for the fully automated factory.

Bring Intelligent Access Control System into Every Corporation

Since Smart city or Smart life is getting more and more popular, lots of corporations have started to search the solution to make their company “smarter”. This time Aetina and our eco-partner TCIT present the smart facial recognition solution for high security access control system.

Meet the VID Solution at Embedded World 2019

Three Live Demo Vertical AI Solution of 2D and 3D Recognition with Aetina Jetson Edge AI Computing Platform

Multifunction Carrier Board AX710 for Nvidia Jetson AGX Xavier

Aetina provides Nvidia Jetson AGX Xavier carrier board AX710, which fully supports not only 10G LAN card (by extension connector) and 4K camera but also M.2 device and USB type C interface.

Edge AI Computing Lead Textile Industrial to Industry 4.0

Due to the cost of personnel expenses is considerable, and manual inspection rate is too slow to match the processing time of the modern weaving machine, Taiwan Textile Research Institute (TTRI) has developed an Automated AI Textile Inspection Solution, based on Aetina Jetson Edge AI Computing Platform and the big data that TTRI has collected for years.

The Solution of 3D AI Liveness Facial Recognition

Based on high performance Aetina Jetson Edge AI Computing Platform and LIPS adaptive AI deep learning algorithm, this 3D Facial Recognition solution limits the recognition time down to less than 0.3 seconds per person by high performance edge computing ability.