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Chooch AI releases computer vision service for AI applications


Visual AI platform Chooch AI has released a hardware-agnostic edge computer vision service called Chooch Edge AI that uses Artificial Intelligence to identify and categorize video stream actions. The startup delivers object and facial recognition technology that can be deployed across many industries.

Chooch Edge AI is a new computer vision solution that was showcased this week at the TechCrunch Disrupt startup event in San Francisco. It integrates neural networks and is easy to install on any camera device with minimum requirements such as internet connection, Linux, 1GB RAM and an ARM 32, ARM 64, or Intel x86-64 chip.

The Chooch AI Dashboard customizes executable packages, and it allows users to establish the events they want to identify based on triggers such as faces, specific visual objects, actions, words, or any other class trained on the Dashboard. When the camera is connected to the internet, it will detect the event and record it for a few seconds, then upload it to the cloud. The tool can operate independently of cloud connectivity.

According to Chooch AI, the system can be used for a number of applications such as facial authorization within security systems, event monitoring in remote locations, industrial IoT operations and autonomous robotics all with zero lag time and industry-leading accuracy.

“We are thrilled to release Chooch Edge AI at TechCrunch Disrupt,” said Emrah Gultekin, Chooch AI, CEO. “Our clients requested fast, easy to install, complete embedded AI solution many times over. There are locations where connectivity is an issue, and now we can offer detailed inferencing on the edge, with less stress on the overall network.”

A demo can be requested at Chooch.AI/Edge-AI

In April, Chooch AI launched a mobile software development kit (SDK) to beta to enable developers to build enterprise-grade trainable facial and object identification into mobile applications. At the time, the company had raised a $2.8 million in a seed round led by VC firm Vickers Venture Partners and joined by angel investors.

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