Smart Retail: Automated Checkout

INTELLIGENT VIDEO ANALYTICS IS KEY TO REDUCING LOSS AT AUTOMATED CHECKOUT LANES AND THROUGHOUT A RETAIL STORE, WHICH RESULTS IN INCREASING REVENUE

Computer vision systems with deep learning in the store enable retailers to respond faster and with greater precision to new product SKUs, local/regional market demands and day-to-day business requirements, such as improving safety and security in store, minimizing theft, and streamlining logistics and store operations. 

Deep-AI has partnered with Xilinx to offer integrated ML training and inference as part of Xilinx’s Smart World AI Video Analytics Solutions.  Deep-AI’s software stack seamlessly integrates in Xilinx’s Video Machine-learning Streaming Server (VMSS) framework. 

Deep-AI provides integrated ML training and inference on the VMSS server, which processes video streams from many cameras, and enables frequent updating and retraining of models in real-time, without having to go back to expensive GPU-based training servers in the Cloud or the Datacenter.

Deep-AI’s s/w stack and integrated ML training and inference solution can be used in any Video and Image Analytics Applications.