e-con Systems launches a ready to deploy AI vision kit with e-con’s Sony IMX415 based 4K camera module
Complete AI vision solution | 4K resolution | Qualcomm® QCS610 | Sony STARVIS IMX415| MIPI CSI 2
e-con Systems™, a leading embedded camera company, 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 comprising of 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 which helps in delivering exceptionally clear images even at 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 also extends its customization support for the camera, carrier board, software, and even adding an enclosure. This enables customers to focus on their end application while e-con takes full control of the vision kit and solution.
“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™.
Arun Kumar PN, Director of Engineering at VVDN Technologies said,
“We are excited to collaborate and work closely with e-con systems by providing them with our powerful SOM Solution based on QCS610 platform. VVDN has rich and deep expertise on Qualcomm’s Snapdragon chipsets on the AI/ML side. Our goal has always been to offer best in class experience to our customers through the innovative technologies With VVDN’s QCS610 SOM, e-con’s qSmartAI80_CUQ610 will allow customers to innovate, transform and scale through powerful edge intelligence.”
Key features of 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.
Features such as small form factor, low power consumption, high resolution, low light performance, ability to run image-based machine learning and deep learning models at the edge, and complete customization and end to end solution support make qSmartAI80_CUQ610 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
Visit qSmartAI80_CUQ610 and contact us for purchase.
Customization and integration support
For qSmartAI80_CUQ610, e-con Systems offers complete customization support not just limited to the camera, but also for the carrier board, software, and enclosure. Please write to us at firstname.lastname@example.org if you are looking for any customization or integration support.