There have been various innovations across disruptive technologies in the transportation industries within the past several years, such as autonomous driving, vehicle telematics, and many more. Many of these innovations required a ruggedized computer known for its reliability, durability, and longevity. In addition, a ruggedized computer can withstand harsh and extreme environments where commercial computers fail. Deployments at moving transportation can bring up various challenges that are only suitable for harsh, rugged computers. Therefore icube Solutions offers an entire hardware solution for smart transportation applications.
This case study shows how robust industrial computers help the railway company to advance its signaling capabilities with a more modern approach that also opens the potential for real-time surveillance.
iCbe's provides AI EDGE Inference computers specially built for intelligent applications that are intense computing from various accelerators, including powerful GPUs, high-speed NVMe SSDs, and 5G technology. For example, autonomous Vehicle Systems and Driver Assitance Systems (ADAS) requires massive real-world data from various high-resolution cameras and vehicle sensors to train the AI algorithms. iCube's leverages its robust EDGEBoost Nodes Computers to optimize powerful multi-core processors, ultra-fast NVMe SSDs, GPU acceleration, and high-speed connectivity. Moreover, the industrial-grade design ensures reliable deployments at the rugged edge.
