Collect, Store, And Analyze Data For Autonomous Fleets And ADAS In Real-time at the edge | Premio
The Rugged Edge Media Hub · Thomas Riley
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About this episode
Developing and improving autonomous vehicle systems and driver assistance systems (ADAS) requires massive real-world data from the various high-resolution cameras and vehicle sensors to train AV (autonomous vehicle) and ADAS (advanced driver assistant systems) algorithms. Obtaining this data requires purpose-built computing solutions capable of storing and recording data in real-time with speed and accuracy. Premio offers AI Edge Inference computers that are engineered for autonomous vehicle fleets and ADAS data deployments. Our AI Edge inference computers leverage the latest technologies in compute, storage, and connectivity to accelerate machine learning and real-time inference in the harshest environmental settings on and off the road.