Innodisk EXMU-X261 FPGA Machine Vision Platform is based on AMD Xilinx Kria K26 SoM

Innodisk EXMU-X261 FPGA machine vision platform

Innodisk, better known for its embedded storage and memory chips, had announced its intention to turn to the AI market earlier and started with the launch of USB camera modules last month, but the company has gone a step (or two, or three) further with the introduction of the EXMU-X261 FPGA machine vision platform. The EXMU-X261 is powered by an AMD Xilink Kria K26 system-on-module and features HDMI 1.4 video output, Gigabit Ethernet, four USB 3.1 Gen 1 ports for the cameras and other peripherals, as well as two M.2 sockets and a terminal block for expansion. EXMU-X261 specifications: System-on-module – AMD Xilinx Kria K26 FPGA module powered by a Zynq UltraScale+ XCK26 FPGA MPSoC with a quad-core Arm Cortex-A53 processor, up to 250 thousand logic cells, and a H.264/265 video encoder/decoder Storage – MicroSD card socket Video Output – HDMI 1.4 port Networking – Gigabit Ethernet RJ45 port USB […]

AXERA AX620A 4K AI SoC delivers up to 14.4 TOPS for computer vision applications

AX620A

AXERA AX620A is a high-performance, low-power AI SoC with a quad-core Arm Cortex-A7 processor and a 14.4TOPs @ INT4 or 3.6TOPs @ INT8’s NPU that is slightly inferior to the Amlogic A311D, and mainly used for AI vision applications. With high computing power and built-in image processing capabilities, the AX620A can support a wide range of AI workloads. It also offers low power consumption with low standby power and fast wake-up, so the chip can be integrated into battery-powered products. AXERA AX620A specifications: CPU – Quad-core Arm Cortex-A7 @ 1.0 GHz with 32KB L1 I-cache + 32KB L1 D-cache per core, 256KB L2 cache, FPU and NEON NPU – 14.4 TOPS @ INT4, 3.6 TOPS @ INT8 with support for Imagenet, AlexNet, VGG, ResNet, GoogLeNet, Faster R-CNN, SSD, FPN, Yolo V3, and other neural networks. ISP Proton AI-ISP up to 4Kp30 4 channels of camera support up to 4x 1080p30 Support […]

Easily add face detection to your project with the Person Sensor module

Person Sensor

It’s now much easier to AI features to your project thanks to better tools, but as we’ve experienced when trying out Edge Impulse machine learning platform on the XIAO BLE Sense board, it still requires some effort and the learning curve may be higher than some expect. But for common tasks like face detection, there’s no reason for the solution to be hard-to-use or expensive, and Pete Warden (Useful Sensors) has designed the $10 Person Sensor fitted with a camera module pre-programmed with algorithms that detect nearby faces and reports the results over an I2C interface.   Person Sensor specifications: ASIC – Himax HX6537-A ultra-low-power AI accelerator @ 400 MHz with 2MB SRAM, 2MB flash Camera Image Sensor – 110 degrees FOV Image scan rate – 7Hz with no facial recognition Image scan rate – 5Hz with facial recognition active Host interface Qwiic connector for the I2C interface up to […]

Innodisk releases USB camera modules for AI applications

Innodisk EV2U-RMR2 camera module

Innodisk, better known for its industrial storage solutions and embedded peripherals, has recently announced a shift towards the AI industry, and the first products for this market are three USB 2.0 camera modules with 1920×1080 resolution. All three camera modules are fixed focus. Innodisk EV2U-RMR2 offers HDR support, the EV2U-SGR1 is more compact, offers wider angles, and is optimized for low light conditions, while the EV2U-RMR1 supports HDR in a longer, but much thinner and narrower form factor and is equipped with an M5 lens, instead of an M12 lens for the other models. Innodisk EV2U-RMR2 camera module specifications: Resolution – 1920×1080 @ 30fps Sensor Size – 1/4” Pixel Size – 2 um Lens type – Fixed focus (M12) Lens D/H/V FoV – 86°/72°/38° HDR support Output I/F – USB 2.0 Power consumption – Around 1 Watt Dimensions – 58 x 25 x 22 mm Temperature Range – -20°C ~ […]

Vecow launches NVIDIA Jetson AGX Orin-based EAC-5000 Series Edge AI computing system

Vecow EAC-5000 Jetson AGX Orin embedded computer

Vecow EAC-5000 is a rugged AI computing system powered by NVIDIA’s Jetson AGX Orin 32GB or 64GB system-on-module designed for advanced edge AI applications such as in-vehicle computing, robotic control, machine vision, intelligent video analytics, and mobile robots. The embedded computer delivers up to 275 TOPS of AI performance thanks to the NVIDIA module, supports up to eight GMSL2 cameras, various wireless connectivity options with 6 antennas, 9V to 50V wide range DC power input, and operates in the -20°C to 70°C temperature range. Vecow EAC-5000 specifications: System-on-Module EAC-5000-R32 – NVIDIA Jetson AGX Orin 32GB with CPU – 8-core Arm Cortex-A78AE v8.2 64-bit processor @ 2.2 GHz with 2MB L2 + 4MB L3 cache GPU / AI accelerators NVIDIA Ampere architecture with 1792 NVIDIA CUDA cores and 56 Tensor Cores @ 1 GHz DL Accelerator – 2x NVDLA v2.0 @ up to 1.4 GHz Vision Accelerator – PVA v2.0 (Programmable […]

JeVois-Pro ultra-compact deep learning camera gets 26 TOPS Hailo-8 AI accelerator

Jevois Pro Hailo 8 AI accelerator

JeVois-Pro tiny AI camera was introduced last year with an Amlogic A311D processor with a built-in 5 TOPS NPU, and support for an Intel Myriad X or Google Edge TPU M.2 card all that in a compact 50x50x45 mm box. The company has now managed to get hold of some M.2 A+E 2230 Hailo-8 modules delivering up to 26 TOPS of AI performance and is selling for JeVois-Pro ultra-compact deep learning camera with the Hailo-8 accelerator for $599 delivering up to 31 TOPS once we include the built-in 5 TOPS NPU.   I won’t go through the full specifications again, but in a nutshell, that’s a camera designed for robotics projects, powered by an Amlogic A311D hexa-core Cortex-A73/A53 processor with 4GB RAM, a microSD card socket for the OS and data, and a 2MP Sony IMX290 Starvis sensor. Since the system is quite compact and the AI accelerator fairly powerful, […]

Luxonis OAK-D series 2 USB and PoE cameras integrate 3D depth and AI for robotics applications

Luxonis OAK-D S2 depth AI camera

Luxonis OAK-D Series 2 are the second-generation of USB or PoE cameras with 3D depth and a built-in AI accelerator mostly used for computer vision in robotics applications. We first wrote about Luxonis’ DepthAI module for Raspberry Pi based on the Intel Myriad X AI accelerator in 2019, and later found the module integrated into OpenCV AI Kit Lite, aka OAK-D Lite camera. The second-generation OAK-D cameras replace the module with a Robotics Vision Core 2 (RVC2) “chip-down design” equipped an SoC and Myriad X AI accelerator for up to 4 TOPS of processing power, including 1.4 TOPS for AI inference. Luxonis OAK-D Series 2 specifications and features: Robotics Vision Core 2 based on Myriad X AI accelerator 4 TOPS of processing power (1.4 TOPS for AI) Video encoding – H.264, H.265, MJPEG @ 4Kp3, 1080p60 Computer vision – Warp/dewarp, resize, crop via ImageManip node, edge detection, feature tracking, custom […]

RZBoard V2L – A business card-sized Renesas RZ/V2L SBC for AI vision applications

RZBoard V2L

Avnet RZBoard V2L is an Arm Linux SBC for AI vision applications that’s about the size of a business card (or a Raspberry Pi), and powered by a Renesas RZ/V2L Cortex-A55/M33 processor with an on-chip DRP-AI accelerator. The board also comes with 2GB DDR4, 32GB eMMC flash, 16MB QSPI flash, Gigabit Ethernet, WiFi 5 and Bluetooth 5.0, multiple USB ports, MIPI DSI/CSI interfaces, as well as a Pi HAT compatible 40-pin GPIO header. RZBoard V2L specifications: SoC – Renesas RZ/V2L with 2x Arm Cortex A55 cores @ up to 1.2 GHz, 1x Arm Cortex M33 real-time core @ 200 MHz, Arm Mali G31 GPU @ 500MHz, DRP-AI accelerator, DRP Simple ISP (full HD), and a H.264 Hardware Video Enc/Dec (full HD) System Memory – 2GB DDR4 (16-bit with ECC) Storage 32GB eMMC flash 16MB QSPI NOR Flash MicroSD card socket Video Output – MIPI DSI and HDMI (selectable) Camera I/F […]

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