Enabling Industrial Autonomous Vehicle with Trusted Edge AI Computing Platform

The future of autonomous public transport consolidates multiple application technologies to offer convenience, security and green living. With 2D/ 3D perception sensors and maps complementing one another, it allows the bus to navigate through traffic/ objects without fuss and arrive at each stop with accurate time-stamp.

With Neousys Nuvo rugged embedded systems, developers can create cost-effective autonomous vehicles that process imagery data with CPUs instead of GPUs. These systems offer a wide range of connectivity options and rugged features, making them an ideal choice for harsh environments.

Neousys GPU Computing supports long-haul trucking by improving logistics and reducing safety risks. It helps streamline operations, optimize routes, and enhance driver efficiency, making this essential industry more reliable and sustainable.

Before automated guided vehicle (AGV), a lot of heavy lifting work in factories and warehouses rely on human labor and operated machines...

The autonomous driving system utilizing Neousys’ GC series system for commercial minibuses consists of several modules such as sensory subsystems, Lidar (optic radar), camera and satellite to precisely position and monitors the bus' surroundings.

Neousys GPU/ in-vehicle computers can connect to sensors and Lidars onboard to recognize traffic lights, stop or go; detect pedestrians to give way, or in some cases, give full control of the truck back to the driver.