Learn how to use OpenCV* to count people using edge detection rather than using server farms.
Celebrating the FIRST EVER Global IoT DevFest! Registration is Still Open to Watch Replays! ATTENTION – There’s still time to sign up for the latest edition of our Intel Global IoT DevFest II on Nov 7-8th 2017.
In support of computer vision development efforts, we've created a GitHub* repository of twelve computer vision code samples. These code samples are a good starting point for developers who wish to develop more robust computer vision and analytic solutions. We use the Retail, Digital Signage market in these examples but the technology can be used in a variety of different markets.
With the amount of continuously generated data on the rise, the cost to upload and store that data in the cloud is increasing. Data is being gathered faster than it is stored and immediate action is often required. Sending all the data to the cloud can result in latency and presents risks when internet connectivity is intermittent. Edge computing involves processing data locally for immediate...
This reference implementation uses computer inference to analyze customer engagement, store traffic, and shelf inventory.
Essa implementação de referência usa a inferência do computador para analisar o envolvimento do cliente, o tráfego da loja e o inventário da prateleira.