This experience learning therefore makes it possible to use neural networks for image recognition, face analysis or stock market predictions, for example. This market is led by increased activity to combat crime and terrorism, as well as economic competition. Can you fill in some of the gaps? It's our job to envisage it together, and make it happen through high-added-value biometric projects. Its simplicity of implementation allows a fast and large scale deployment while limiting costs.
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Its simplicity of implementation allows a fast and large scale deployment while limiting costs. This area is certainly the one where use of facial recognition was least expected. These real-life tests measured the performance of 12 facial recognition systems in a corridor measuring 2 m by 2. We work with government organizations or large companies as well as start-ups but always with this same desire to achieve the highest level of customer satisfaction.
The top 7 trends for facial recognition in 2018
This important trend is being combined with the latest marketing advances in customer experience. It combines high accuracy for people identification and high speed of operation. When taking the same test, humans answer correctly in Some parties are concerned and alarmed by these developments.