TAWNY

AI-video analytics enables your store managers to identify and prevent store shrinkages as well as inventory thefts, as soon as they happen. With InfiEye AI, you can improve your in-store shopping experience by identifying fast-selling SKUs on retail shelves and easily monitor in-store customer behaviors. Integrable with your existing in-store PoE cameras. Place your cameras at points you want to monitor, be it the overhead of checkout counters, countertop, on retail shelves, or at the store's entry and exit points. Image recognition algorithm processes live in-store feeds, frame by frame, to accurately identify every object on the shop floor. Evidence-based alerts are sent to the store staff to intervene in a friendly manner. Monitor inventory stock-outs or overstocking, and track sales performance of each store. Reduce store shrinkages and improve net-sales output of every store.

Derive insights from your images in the cloud or at the edge with AutoML Vision or use pre-trained Vision API models to detect emotion, understand text, and more. Google Cloud offers two computer vision products that use machine learning to help you understand your images with industry-leading prediction accuracy. Automate the training of your own custom machine learning models. Simply upload images and train custom image models with AutoML Vision’s easy-to-use graphical interface; optimize your models for accuracy, latency, and size; and export them to your application in the cloud, or to an array of devices at the edge. Google Cloud’s Vision API offers powerful pre-trained machine learning models through REST and RPC APIs. Assign labels to images and quickly classify them into millions of predefined categories. Detect objects and faces, read printed and handwritten text, and build valuable metadata into your image catalog.