e-con Systems Launches a Ready to Deploy AI Vision Kit
April 14, 2022
News
e-con Systems launches qSmartAI80_CUQ610, a Qualcomm AI vision kit based on Sony STARVIS IMX415. This ready-to-deploy AI camera kit is suitable for running image-based machine learning and deep learning models at the edge.
qSmartAI80_CUQ610 is an AI vision kit containing e-con's 4K MIPI low light camera module, VVDN's SoM based on Qualcomm QCS610 SoC, and a carrier board. The 4K camera module is based on the Sony STARVIS IMX415 ultra low light sensor.
This kit is engineered to facilitate powerful computing for on-device image processing with enough power and thermal efficiency. e-con Systems also extends its customization support for the camera, carrier board, software, and even adding an enclosure.
"The qSmartAI80_CUQ610 AI Vision kit marks a significant milestone as our first ever camera for Qualcomm QCS series of processors utilizing the state-of-the-art Image Signal Processor of Qualcomm processors. The qSmartAI80_CUQ610 developed in partnership with VVDN Technologies, a premier electronics engineering and manufacturing company, is an ideal platform for our customers to develop next generation edge-AI-enabled embedded vision applications. The embedded vision applications require consistent image quality from the cameras irrespective of challenging light conditions and customers leverage e-con's expert IQ tuning and solutioning capability to successfully launch their end products with shortest time-to-market" said Ranjith Kumar, Senior product manager at e-con Systems.
Key features of the qSmartAI80_CUQ610:
- Complete vision solution - Faster product integration and deployment thereby reducing time to market.
- Sony STARVIS™ IMX415 sensor - This ultra-low light sensor helps in delivering exceptionally clear images even at low light conditions. Also, its 4K resolution makes it suitable for applications that require a high level of detail in the output image.
- Finetuned Image Signal Processor (ISP) - The default Qualcomm ISP has been finetuned further to ensure the best possible image output.
- Low power consumption - Engineered for optimized power consumption reducing the total load on the system.
- Small form factor - Perfect for compact embedded systems.
qSmartAI80_CUQ610 is perfect for the following applications:
- Service robots
- Telemedicine robots
- Telepresence robots
- Smart checkouts & carts
- Smart signages & kiosks
- Dash cameras and body cameras
- Automated sports broadcasting systems
For more information, visit e-consystems.com.
Chad Cox is the Production Editor at Embedded Computing Design. His responsibilities are centered around content creation, writing and editing, and article research and development. Chad covers industry news and events and is known to interact with various industrial leaders via on-premise visits and online interviews. He is responsible for the digital footprint and dissemination of news via social media posts, advertising creation and the production of newsletters including the Embedded Computing Design’s Daily.
He is well versed in many facets of industrial computing including Edge AI, IoT, Processing, Security, Open Source, and more.
Chad graduated from the University of Cincinnati with a B.A. in Cultural and Analytical Literature and holds a master’s in education.
