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 […]

NVIDIA TAO Transfer Learning Toolkit (TLT) 3.0 released with pre-trained models

NVIDIA TAO Transfer Learning Toolkit

NVIDIA first introduced the TAO (Train, Adapt and Optimize) framework to eases AI model training on NVIDIA GPU’s as well as NVIDIA Jetson embedded platforms last April during GTC 2021. The company has now announced the release of the third version of the TAO Transfer Learning Toolkit (TLT 3.0) together with some new pre-trained models at CVPR 2021 (2021 Conference on Computer Vision and Pattern Recognition). The newly released pre-trained models are applicable to computer vision and conversational AI, and NVIDIA claims the release provides a set of powerful productivity features that boost AI development by up to 10 times. Highlights of TAO Transfer Learning Toolkit 3.0 Various computer vision pre-trained models for Computer vision: Body Pose estimation model that supports real-time inference on edge with 9x faster inference performance than the OpenPose model. Emotion recognition Facial landmark License plate detection and recognition Heart rate estimation Gesture recognition Gaze estimation […]

Modelplace.AI is an app store for OpenCV compatible AI models

modelplace.ai

OpenCV open-source computer vision library is used in a wide variety of projects and products, and last year, the community also launched the OpenCV AI Kit (OAK) Myriad X-based hardware solution for computer vision. However there’s a learning curve to use the library, especially in combination with artificial intelligence models, and it can be challenging and time-consuming to newcomers. So in order to broaden the reach of the solution, OpenCV has now introduced Modelplace.AI, an app store/marketplace for AI models working with the OpenCV library. The AI model marketplace is a store and try-before-you-buy service for artificial intelligence models, many of which are certified to work with the OpenCV AI Kit. There are currently over 40 models for detection (e.g. person, pedestrian…), classification, segmentation (e.g. extraction of objects from a scene), pose estimation, people counting, text detection, tracking, and more. Right now all models are free, but developers will be […]

OpenMV PureThermal STM32H7 board overlays thermal map on RGB image

OpenMV PureThermal Camera

We’ve been writing about OpenMV open-source camera boards programmable with MicroPython at least since 2015, with the latest model OpenMV Cam H7 based on STM32H7 Cortex-M7 microcontroller introduced in 2018. But the company has now gone a step further with OpenMV PureThermal board equipped with a more powerful STM32H7 dual-core Arm Cortex-M7/M4microcontroller, and supporting FLIR Lepton 2 to 3.5 thermal imagers, allowing the system to overlay the thermal map on top of the image like an augmented reality app would do. It can do so on the integrated LCD display or on an HDMI display. OpenMV PureThermal features & specifications: MCU – STMicro STM32H7 Arm Cortex-M7 @ 480 MHz) and Cortex-M4 @ 240 MHz microcontroller Memory – 64MB SDRAM Storage – 32 MB of QSPI flash for the firmware, a microSD card slot for saving pictures and machine vision assets Display 800×480 touch Screen LCD DVI out for driving an […]