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Edge AI vision kit based on Qualcomm QCS610 processor

kevinjackson

New member
Introducing qSmartAI80, a ready to deploy Qualcomm® QCS610 based AI vision kit with Sony 4K ultra low light camera for AI-based camera applications.

This edge AI vision kit comprises of e-con’s Sony STARVIS IMX415 based 4K MIPI CSI-2 camera module, a VVDN’s Qualcomm® QCS610 based SOM and a carrier board. The 4K camera module is based on the Sony STARVIS™ IMX415 ultra low light sensor which helps in delivering exceptionally clear images even in low light conditions. Also, this kit is engineered to enable powerful computing for on-device image processing with exceptional power and thermal efficiency.


In addition to offering the complete vision kit, e-con Systems will also extend its customization support on the camera, carrier board, software, and enclosure. This enables customers to focus on their end application while e-con takes full control of the vision kit and solution. Further, this vision kit can also be integrated with any image sensor, especially the off-the-shelf cameras offered by e-con Systems. This gives product owners the ability to develop AI-based embedded vision applications with the camera sensor of their choice.

This Qualcomm AI vision kit is suited for running image-based machine learning and deep learning models at the edge making it perfect for industrial and retail applications. In addition to these, the default Qualcomm ISP has been further tuned by e-con’s expert engineers to bring out the best-in-class image quality and color reproduction, making it adaptable to different lighting conditions.

Features such as small form factor, low power consumption, low light performance, high resolution, and the ability to run image-based machine learning and deep learning models at the edge make qSmartAI80 perfect for applications such as service robots, telemedicine robots, telepresence robots, smart checkouts and carts, smart traffic, smart signages & kiosks, automated sports broadcasting systems, and dashcam and body cam.

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