M5Stack UnitV2 AI module gets USB camera and M12 camera versions

M5Stack Unitv2 USB

M5Stack UnitV2 is an ultra-compact Linux AI camera powered on Sigmastar SSD202D SoC with a dual-core Cortex-A7 processor @ 1.2 GHz, and 128MB on-chip DDR3 that was launched in April 2021 with a Full HD camera featuring a 68° field-of-view. M5Stack has now introduced two new models, one called M5Stack UnitV2 USB without any camera at all, instead relying on an external USB UVC camera, and the other named M5Stack UnitV2 M12 equipped with an M12 socket and shipping with both a normal focal length camera with an 85° FoV and wide-angle focal length with a 150° FoV. M5Stack UnitV2 USB M5Stack Unitv2 USB specifications: SoC – SigmaStar SSD202D dual-core Cortex-A7 processor @ 1.2 GHz with 128MB on-chip DDR3 Storage – 512MB on-chip NAND flash with around 100MB free space, MicroSD card socket Camera – N/A Audio – Built-in microphone Connectivity – 2.4GHz WIFi 4 up to 150 Mbps (RTL8188FTV), […]

Mini Pupper – Raspberry Pi 4-based robot dog teaches ROS, SLAM, navigation, computer vision (Crowdfunding)

Mini Pupper Raspberry Pi 4 Robot Dog

Mini Pupper is a Raspberry Pi 4 powered robot dog inspired by Stanford Pupper open-source quadruped robot, and designed in “light collaboration” with Nathan Kau, the original creator of Stanford Pupper. Just like the original design, MangDang’s Mini Pupper is open-source, based on Ubuntu and ROS (Robot Operating System), and designed for robotics education in schools, homeschool families, enthusiasts and others, with notably students being able to learn out to use ROS, SLAM, navigation, and OpenCV computer vision through online courses that will come with the robot. Mini Pupper key features and specifications: SBC – Raspberry Pi 4 Model B with 2GB RAM Storage – 2GB microSD card Display – 320×240 LCD for facial animation Camera – Support for OpenCV AI Kit Lite 12 DOF via MangDang’s custom servos Optional Lidar module for SLAM (Simultaneous localization and mapping) Battery – 800 mAh Charger – Input voltage – 100-240V AC 50/60Hz, […]

OpenNCC Nighthawk – A face blurring AI camera based on Myriad X VPU

OpenNCC Nighthawk Myriad X AI camera

We’ve just written about OpenCV Ai Kit Lite computer vision camera based on Intel Myriad X VPU, and OpenNCC Nighthawk is another such programmable camera based on the Intel AI accelerator, but with an IR filter for night vision, and working with OpenNCC-SDK notably supporting real-time face blurring for enhanced privacy. OpenNCC Nighthawk specifications: VPU – Intel Movidius Myriad X MA2085 up to 4 TOPS RAM – 8 Gbits (1GB) LPDDR4 Camera 2MP camera up to 1920 x 1080 @ up to 30fps ~114° Field of View (DFOV) 2.2mm focal length Lens TTL (through the lense) – 24mm Mount – M12 x 0.5mm thread size Day&Night IR Filter – Solenoid excitation type, automatically switch between 0.1~2 lux IR LED – 850nm up to 5m Output Data format – YUV420, YUV422, MJPG, H.264 Misc – Reset, GPIO Host Interface – USB 3.1 TYPE-C port Temperature Range – 0°- 50° The camera […]

OpenCV AI Kit Lite – A compact 4K Tri-camera kit for computer vision applications (Crowdfunding)

OpenCV AI Kit LIte

The OpenCV AI Kit “OAK-D” now has a little brother with the OpenCV AI Kit Lite equipped with the same Intel Myriad X-based DepthAI solution with three cameras, but in a much compact form factor and a price slashed to as low as $79 and up. Like its predecessor, the OpenCV AI Kit leverage the Myriad X AI accelerator’s capabilities to provide a wide range of real-time computer vision applications, and can be programmed with C++ or Python APIs, as well as graphical user interfaces. OpenCV AI Kit Lite (OAK-D Lite) specifications: Intel Myriad X-based DepthAI with 4 TOPS of AI performance Cameras (made by ArduCam) Color Camera IMX214 (PLCC) with 4208×3120 resolution,  1.348:1 aspect ratio 1/3.1 inch Lens size 81.3 degrees DFOV Focus range 8cm – ∞ Stereo Camera specifications: Omnivision OV07251-G04A-1E (COB) with  640 x 480 resolution, 1.333:1 aspect ratio 1/7.5 inch lens size DFOV: 85.6,HFOV: 72.9, VFOV: […]

Wio Lite AI – An STM32H725A Cortex-M7 board for AI vision applications

Wio Lite AI

Wio Lite AI is another development board from Seeed Studio’s “Wio Lite” family. The board is based on STMicro STM32H725A Cortex-M7 microcontroller with a dual-band WiFi and Bluetooth module, as well as camera & display interfaces for connected AI vision applications. The board builds upon the earlier Wio Lite and  Wio Lite W600 boards with built-in wireless connectivity but offers much more processing power for computer vision or other applications. Wio Lite AI specifications: MCU – STMicro STM32H725AE Arm Cortex-M7 microcontroller @ 550MHz with DSP instructions, 512 KB flash, 564 KB RAM Memory – 8MB PSRAM (from AP Memory) Storage – 16MB SPI NOR flash and  MicroSD card slot Display I/F – 40-pin FPC connector for LCD RGB565 or RGB888 displays Camera – 24-pin FPC connector for DCMI camera (OV2640) Audio –  12-pin FPC connector for audio Connectivity – Dual-band 2.4GHz / 5GHz Wi-Fi and Bluetooth 5.1 Expansion – Feather […]

MagikEye Developer Kit enables 120 fps 3D sensing on Raspberry Pi

Raspberry Pi 3D Sensing development kit

MagikEye ILT001 developer kit (DK-ILT001) is a low-latency 3D sensing kit that connects to the Raspberry Pi’s MIPI CSI camera connector and features the company’s Invertible Light Technology (ILT) module with an infrared laser and a CMOS image sensor. The company says a “unique algorithm” developed in-house can generate 3D point cloud datasets acquired at high speeds (up to 120 fps) and with very low latency using simple hardware configuration. The kit targets researchers, students, and hobbyists working on machine vision, robotics, automated carriers, and other projects that can benefit from low-latency 3D sensing. MagikEye DK-ILT001 kit key features and specifications 850nm infrared light laser CMOS image sensor Range up to 1.5 meters (15 to 80 cm recommended) Compatibility – Raspberry Pi Zero W/3B/3B+/4 Power Supply – 3.3V (via MIPI Interface on Raspberry Pi) Power Consumption – 0.6W (average) Dimensions – 44 x 24 x 16 mm (within enclosure) Weight […]

Vecow EAC-2000 fanless embedded system is powered by NVIDIA Jetson Xavier NX

Vecow EAC-2000 fanless embedded-system-NVIDIA Jetson Xavier NX

Vecow  Vecow EAC-2000 series fanless embedded system features NVIDIA Jetson Xavier NX module for the deployment of AI vision and industrial applications including traffic vision, intelligent surveillance, auto optical inspection, Smart Factory, AMR/AGV, and other AIoT/Industry 4.0 applications. The computer comes with up to four Fakra-Z connectors to connect GMSL cameras,  as well as four Gigabit Ethernet ports, two of which with PoE+ support, takes 9V to 50V wide range DC input, and can operate in a wide temperature range from -25°C to 70°C. Two models part of Vecow EAC-2000 embedded system family are currently offered with the following specifications: System-on-Module – NVIDIA Jetson Xavier NX with CPU – 6-core NVIDIA Carmel ARM v8.2 64-bit CPU GPU -384-core NVIDIA Volta GPU with 48 Tensor Cores DL Accelerator -2x NVDLA Engines System Memory – 8GB LPDDR4x DRAM Storage – 16GB eMMC flash Storage – M.2 Key M Socket (2280) for SSD, […]

Jevois Pro small AI camera with Amlogic A311D SoC offers up to 13 TOPS (Crowdfunding)

JeVois Pro

Jevois-A33 smart camera was a tiny Linux camera with Allwinner A33 processor designed for computer vision applications and announced in 2016. I had the opportunity to review the computer vision camera the following year, and it was fun to use to learn about computer vision with many examples, but since it relied on the CPU for processing, it would not have been suitable for all projects due to the lag, as for example, object detection took 500ms and Yolo V3 around 3 seconds per inference. But time has passed, and great progress has been made in the computer vision and AI fields with the tasks now usually handled by a built-in NPU, or an AI accelerator card. So JeVois Pro deep learning camera has just been launched with an Amlogic A311D processor featuring a 5 TOPS NPU, and support for up to 13 TOPS via a Myriad X or Google […]