computer vision

Posted on by Jean-Luc Aufranc (CNXSoft) - No Comments on Arducam OCam AI camera adds context to video streams in real-time with the PhysicO platform

Arducam OCam AI camera adds context to video streams in real-time with the PhysicO platform

Arducam OCam

Arducam OCam, whose name stands for Object Camera, is an AI camera with 3 TOPS of AI performance and designed to work with OStream‘s PhysicO Edge AI media platform that adds context to MP4 video streams in real-time. The camera supports resolutions from QVGA to 2K, takes USB or PoE power, comes with a drag-and-drop AI pipeline for easy programming/configuration, and is also compatible with common AI tools such as TensorFlow, PyTorch, Edge Impulse, and others. Arducam OCam specifications: Resolution – QVGA up to 2K Frame Rate – Up to 60 fps FoV – 80° Audio – Dual beamforming AI processing power – Up to 3 TOPS Power Supply 5V via USB PoE Power Consumption – Up to 5 Watts Dimensions – 10 cm Φ x 3 cm Weight – 400 grams As I understand it, the AI pipeline – named ObjectAgent – runs on the camera itself, and adds […]

Posted on by Li Zexi - 1 Comment on Sipeed Maix-III devkit features AXERA AX620A SoC for AI vision applications

Sipeed Maix-III devkit features AXERA AX620A SoC for AI vision applications

Sipeed Maix-III development kit is composed of a core board equipped with AXERA AX620A AI processor and a carrier board exposing several interfaces such as Ethernet, USB, and camera connectors. resources. As noted in our earlier article about the AXERA AX620A chip, it is a  quad-core Arm Cortex-A7 chip with an NPU offering a maximum of 14.4 TOPS @ INT4 or 3.6TOPSs @ INT8, and as such, this development board mainly targets AI vision applications. The board is an upgrade to the earlier Speed Maix II with an Allwinner V831 processor. Thanks to the low power consumption of the AXERA AX620A SoC, the Sipeed Maix-III board can be powered directly through its USB port as the system consumers 5W (5V@1A) with the carrier board, the system-on-module, WiFi, Ethernet, a camera, and a 5-inch display. Using the display does not require am additional heatsink or fan, nor does it require an […]

Posted on by Jean-Luc Aufranc (CNXSoft) - 4 Comments on AMD Ryzen Embedded V2516/V2718 mini PC supports three 4K displays, 2.5GbE, RS232/RS422/RS485

AMD Ryzen Embedded V2516/V2718 mini PC supports three 4K displays, 2.5GbE, RS232/RS422/RS485

AAEON PICO-V2K4-SEMI mini PC, powered by an AMD Ryzen Embedded V2516 or V2718 processor, can drive up to three 4K displays, offers 2.5GbE and GbE networking, several USB 3.2 ports, as well as two optional COM ports supporting RS232, RS422, and RS485. The first mini PC from the company featuring AMD Ryzen V2000 Series processors also comes with up to 32GB RAM, a 64GB NVMe SSD, as well as M.2 and mPCIe sockets for expansion, and its compact form factor makes it suitable for edge computing, embedded gaming, and image processing applications. PICO-V2K4-SEMI specifications: AMD Ryzen Embedded V2000 processor (one or the other) Ryzen V2718 octa-core/16-thread processor @ up to 1.7-4.15 GHz (Turbo) with Radeon RX Vega 7 GPU; TDP: 10-25W Ryzen V2516 hexa-core/12-thread processor @ up to 2.1-3.95 GHz (Turbo) with Radeon RX Vega 6 GPU; TDP: 10-25W System Memory – 8GB to 32GB LPDDR4x 3733 MHz Storage Up […]

Posted on by Jean-Luc Aufranc (CNXSoft) - No Comments on Innodisk EXMU-X261 FPGA Machine Vision Platform is based on AMD Xilinx Kria K26 SoM

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

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 […]

Posted on by Li Zexi - 1 Comment on AXERA AX620A 4K AI SoC delivers up to 14.4 TOPS for computer vision applications

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

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 – 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 […]

Posted on by Jean-Luc Aufranc (CNXSoft) - 5 Comments on Easily add face detection to your project with the Person Sensor module

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

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 […]

Posted on by Jean-Luc Aufranc (CNXSoft) - 3 Comments on Innodisk releases USB camera modules for AI applications

Innodisk releases USB camera modules for AI applications

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 ~ […]

Posted on by Jean-Luc Aufranc (CNXSoft) - No Comments on Vecow launches NVIDIA Jetson AGX Orin-based EAC-5000 Series Edge AI computing system

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

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 […]