On-Shelf Availability Detection Using Neurolabs скачать в хорошем качестве

On-Shelf Availability Detection Using Neurolabs

A quick demo of Neurolabs' custom computer vision software that detects on-shelf availability for supermarkets and retail stores via in-store cameras. We use synthetic data to train our computer vision models as it is dramatically faster, more cost effective, and much easier to scale than the use of manually obtained, labelled, and annotated real data. We can easily apply this synthetic data approach across tens of thousands of stock-keeping units (SKUs) to custom train our product detection models to your specific supermarket environment. Our use of synthetic data allows us to rapidly add new SKUs by training the model to recognise new ones before they even hit the shelves, meaning the model responds to updates to your planogram dynamically and your on-shelf availability is managed seamlessly at scale. This is a really useful form of object detection if you want to put an end to out-of-stocks/out-of-shelves, improve your customer experience, and ultimately increase revenue for your business. This real-time shelf monitoring solution is now available on the Neurolabs computer vision platform. Once you are happy with the performance of the product detection model for your specific use case, you can simply copy the deployment URL or endpoint from the Neurolabs platform for use in the automation program of your choice. You can get started at the link below: https://www.neurolabs.ai/free-trial