e-con Systems has recently launched the qSmartAI80_CUQ610, a Qualcomm Edge AI vision kit based on Qualcomm QCS610 octa-core Cortex-A76/A55 processor and featuring a camera module based on Sony STARVIS IMX415 4K ultra low light sensor.
The kit is comprised of a QCS610 module with 4GB RAM and 16GB eMMC flash and carrier board designed by VVDN Technologies, as well as e-con Systems 4K camera module, and designed to run vision machine learning and deep learning models at the edge.
qSmartAI80_CUQ610 “Qualcomm Edge AI Vision kit” specifications:
- SoC – Qualcomm QCS610 octa-core processor with 2x Kryo 460 Gold cores @ 2.2 GHz (Cortex-A76 class), and 6x Kryo 430 Silver low-power cores @ 1.8GHz (Cortex-A55 class), Adreno 612 GPU @ 845 MHz, with OpenGL ES 3.2, Vulkan 1.1, OpenCL 2.0, Hexagon DSP with Hexagon Vector eXtensions (HVX), Spectra 250L ISP, 4Kp30 VPU H.265 encode/decode; Note: Qualcomm QCS410 SoC is available upon request
- System Memory – 4GB LPDDR4X SDRAM, 1866 MHz
- Storage – 16GB eMMC flash
- Dimensions – 55 x 35.5 mm
- 4K Camera module
- Sensor – Sony STARVIS IMX415 up to 4K UHD resolution (3840×2160)
- Output format – 10-bit RAW Bayer up to 4Kp30
- Focus Type – Fixed focus
- Optical Format – 1/2.8″
- Shutter Type – Electronic rolling shutter
- Pixel size – 1.45 µm x1.45 µm
- Holder – M12 (S-Mount)
- DFOV – 115.90° with the lens provided by e-con Systems
- Dimensions – 30 x 30 mm
- Carrier board
- Storage – MicroSD card socket
- Display I/F – HDMI, 4-lane MIPI DSI connector
- Camera I/F – 3x 4-lane MIPI CSI connectors
- Low power stereo codec with headphone out
- 2x 2-bit MI2S port, 1x SLIMbus interface for BT audio, 1x single lane SoundWire interface
- Gigabit Ethernet
- Dual-band WiFi 5 1×1 and Bluetooth with 1x u.FL antenna connector
- USB – 1x USB 3.1, 1x USB 2.0 Type C port, 1x USB 2.0 host port
- Power Supply – 12V DC
- Compliances – RoHS
The kit also comes with a micro-coaxial cable to connect the camera module to the carrier board, a camera lens, a USB Type-A to Type-C cable to connect the kit to a host/development machine, and a 12/3A power adapter.
On the software side, e-con Systems provides a Yocto-build Linux image with a GStreamer based camera application for “HDMI streaming”, H.264 network streaming over Ethernet and WiFi, snapshot image capture in JPEG and RAW Bayer, H.264 video recording, and adjustment of camera features like white balance, gain, exposure, and so on. Engineers can make full use of the AI capabilities of the kit using Qualcomm neural processing SDK for AI, Neural network API (TFLite models), GStreamer plugin (DLC models), and GStreamer TFLite plugin. Software and hardware documentation is available after free email registration.
e-con Systems expect their customer to use the kit to develop service robots, telemedicine robots, telepresence robots, smart checkouts & carts, smart signage & kiosks, dash cameras and body cameras, and automated sports broadcasting systems
We’ve written about system-on-modules for years, but I cannot remember ever covering products from VVDN Technologies, and based on the information on their LinkedIn profile, they are not a small company with over 3,000 employees. Going to the company’s website explains why: they have no products, and instead, they offer engineering and manufacturing services to other businesses. A quick search on CNX Software reveals I quickly mentioned an NXP i.MX 6UL devkit designed by VVDN in 2016 for Android Things.
Back to the main topic. e-con Systems qSmartAI80_CUQ610 QCS610 development kit is available now, but you’d need to contact the company for pricing. More details, including software and hardware documentation, can be found on the product page.
Jean-Luc started CNX Software in 2010 as a part-time endeavor, before quitting his job as a software engineering manager, and starting to write daily news, and reviews full time later in 2011.