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Posted on by Jean-Luc Aufranc (CNXSoft) - 13 Comments on ESP32-S3 infrared thermal imaging camera module offers 80×62 resolution, 45° and 90° wide angle versions

ESP32-S3 infrared thermal imaging camera module offers 80×62 resolution, 45° and 90° wide angle versions

ESP32-S3 Thermal Camera module

Waveshare has launched an ESP32-S3-based thermal imaging camera module based on the same 80 x 62 infrared camera found in its Thermal-45/90 camera Raspberry Pi HAT and Thermal-45/90 USB camera. The thermal camera module is offered with two field of views, namely 45° for the basic version and 90° for the wide angle variant, twenty solder pads with GPIOs, UART, and I2C for expansion, a USB-C port for power and programming, and a 2-pin header to connect a battery if required. Waveshare “ESP32-S3 IR thermal imaging camera module” specifications: Wireless Module ESP32-S3-WROOM-1 MCU – ESP32-S3 dual-core Tensilica LX7 up to 240 MHz with 512KB SRAM, up to 8MB PSRAM Storage – 16MB flash Wireless – WiFi 4 and Bluetooth LE 5 Thermal Camera – Meridian Innovation MI0802 Resolution – 80 × 62 Field of View (FOV) 56°(D) x 45°(H) x 34°(V) (Baisc version) 122°(D) x 90°(H) x 67°(V) (Wide angle […]

Posted on by Jean-Luc Aufranc (CNXSoft) - No Comments on ESPNowCam library enables ESP32 video camera or data transmission with the ESP-NOW protocol

ESPNowCam library enables ESP32 video camera or data transmission with the ESP-NOW protocol

ESPNowCam ESP-Now library for ESP32 camera board

ESPNowCam is an open-source library for ESP32 camera boards that relies on the ESP-NOW protocol for efficient point-to-point, one-to-many, or many-to-one video or data transmission. ESP32 microcontrollers already support WiFi or Bluetooth connectivity, but the ESP-NOW offers an alternative in scenarios where low latency is required and/or access to a router is not feasible or practical. That’s why we’ve previously seen ESPNOW used in ESP32 drones. As its name implies, the ESPNowCam project leverages the ESP_NOW wireless protocol for ESP32 video cameras, but can also be used for data transmission. ESPNowCam highlights: Transmission modes One transmitter to multiple receivers using the internal ESPNow broadcasting feature (1:N mode) Peer-to-peer (P2P) connections utilizing MAC address targeting (1:1 mode) Multi-sender mode with one receiver (N:1 mode) No need for IPs, routers, or credentials The project was first released in January 2024, but I’ve only noticed it, and it had several iterations since then. […]

Posted on by Jean-Luc Aufranc (CNXSoft) - 1 Comment on Boardcon SBC3576 – A feature-rich Rockchip RK3576 SBC with HDMI, mini DP, dual GbE, WiFi 6, optional 5G/4G LTE module, and more

Boardcon SBC3576 – A feature-rich Rockchip RK3576 SBC with HDMI, mini DP, dual GbE, WiFi 6, optional 5G/4G LTE module, and more

Boardcon SBC3576 SBC

Boardcon SBC3576 is a feature-rich single board computer (SBC) based on the MINI3576 system-on-module powered by a Rockchip RK3576 AI SoC and equipped with two 100-pin and one 44-pin board-to-board connectors for interfacing with the carrier board. The carrier board is equipped with up to 8GB RAM, 128GB eMMC flash, two gigabit Ethernet ports, a WiFi 6 and Bluetooth 5.3 module, 4K-capable HDMI 2.1 and mini DP video outputs, a mini HDMI input port, a USB 3.0 Type-A port, RS485 and CAN Bus terminal block, and more. The Rockchip RK3576 SoC comes with the same 6 TOPS NPU found in the Rockchip RK3588/RK3588S SoC and can be used as a lower-cost alternative with less performance. Boardcon SBC3576 specifications: SoC – Rockchip RK3576 CPU 4x Cortex-A72 cores at 2.2GHz, four Cortex-A53 cores at 1.8GHz Arm Cortex-M0 MCU at 400MHz GPU – ARM Mali-G52 MC3 GPU clocked at 1GHz with support for OpenGL […]

Posted on by Jean-Luc Aufranc (CNXSoft) - 1 Comment on Edge video processing platform features NXP i.MX 8M Plus, i.MX 93, or i.MX 95 SoC, supports up to 23 camera types

Edge video processing platform features NXP i.MX 8M Plus, i.MX 93, or i.MX 95 SoC, supports up to 23 camera types

DAB Embedded AquaEdge video processing platform

DAB Embedded AquaEdge is a compact computer based on NXP i.MX 8M Plus, i.MX 93, or i.MX 95 SoC working as an edge video processing platform and supporting 23 types of vision cameras with resolution from VGA up to 12MP, and global/rolling shutter. The small edge computer features a gigabit Ethernet RJ45 jack with PoE to power the device. It is also equipped with a single GSML2 connector to connect a camera whose input can be processed by the built-in AI accelerator found in the selected NXP i.MX processors. Other external ports include a microSD card slot, a USB 3.0 Type-A port, and a mini HDMI port (for the NXP i.MX 8M Plus model only). DAB Embedded AquaEdge specifications: SoC / Memory / Storage options NXP i.MX 8M Plus CPU – Quad-core Cortex-A53 processor @ 1.8GH, Arm Cortex-M7 real-time core AI accelerator – 2.3 TOPS NPU VPU Encoder up to […]

Posted on by Jean-Luc Aufranc (CNXSoft) - 1 Comment on Mekotronics R58-PTZ video surveillance/live streaming embedded computer features a PTZ camera, two HDMI input ports

Mekotronics R58-PTZ video surveillance/live streaming embedded computer features a PTZ camera, two HDMI input ports

Mekotronics R58-PTZ embedded computer with pan and tilt camera

I swear it’s not an AI-generated picture of a device, but the Mekotronics R58-PTZ is real and just another unusual Rockchip RK3588 hardware platform from the company that’s an embedded computer with a 3-inch display on the front panel and a PTZ (Pan-Tilt-Zoom) camera placed on top. Mekotronics describes it as a live-streaming box designed for video surveillance, so I assume its main use case is to leverage to built-in 6 TOPS NPU for live streaming with some real-time effect and/or surveillance applications detecting persons, masks, etc… especially it also offers two HDMI inputs for extra cameras. Mekotronics R58-PTZ specifications: SoC – Rockchip RK3588 octa-core processor with CPU – 4x CortexA76  cores @ up to 2.4 GHz, 4x CortexA55 core @ 1.8 GHz GPU – Arm Mali-G610 MP4 GPU with support for OpenGL ES 1.1/2.0/3.2, OpenCL 2.2, Vulkan 1.2 Video decoder – 8Kp60 H.265, VP9, AVS2, 8Kp30 H.264 AVC/MVC, 4Kp60 […]

Posted on by Jean-Luc Aufranc (CNXSoft) - 1 Comment on Build a four-wheel RC car with ESP32-CAM board and off-the-shelf parts

Build a four-wheel RC car with ESP32-CAM board and off-the-shelf parts

ESP32 CAM robot car with off-the-shelf parts

While there are plenty of ESP32-based wireless-controlled robot cars with a built-in camera, like the PiCar-X 2.0 or Zeus Car, it might be more fun and rewarding to build something yourself. That’s exactly what Matt Sroufe did by building his own RC car using off-the-shelf parts and an ESP32-CAM board and writing firmware for it. To get started with the build, you’ll need six main components: A 4-wheel car chassis – $47.49 on AliExpress Electronic speed controller  – $5.27 on AliExpress. Matt selected the 30A version with green PCB. Dual-battery holder for about $2 on AliExpress 2x 18650 3.6V cells or 7.4V batteries purchased locally ESP32-CAM board with an external antenna and the 160° FoV camera – About $14 with board, camera, and external antenna. Bluetooth gamepad such as a PS4 controller The total should be around $80 with the batteries assuming you already own a Bluetooth gamepad. You’ll need […]

Posted on by Jean-Luc Aufranc (CNXSoft) - 2 Comments on YOLO-Jevois leverages YOLO-World to enable open-vocabulary object detection at runtime, no dataset or training needed

YOLO-Jevois leverages YOLO-World to enable open-vocabulary object detection at runtime, no dataset or training needed

YOLO-Jevois general object detection by typing words

YOLO is one of the most popular edge AI computer vision models that detects multiple objects and works out of the box for the objects for which it has been trained on. But adding another object would typically involve a lot of work as you’d need to collect a dataset, manually annotate the objects you want to detect, train the network, and then possibly quantize it for edge deployment on an AI accelerator. This is basically true for all computer vision models, and we’ve already seen Edge Impulse facilitate the annotation process using GPT-4o and NVIDIA TAO to train TinyML models for microcontrollers. However, researchers at jevois.org have managed to do something even more impressive with YOLO-Jevois “open-vocabulary object detection”, based on Tencent AI Lab’s YOLO-World, to add new objects in YOLO at runtime by simply typing words or selecting part of the image. It also updates class definitions on […]

Posted on by Jean-Luc Aufranc (CNXSoft) - 4 Comments on V-Link leverages GMSL2 to extend Raspberry Pi camera with up to 15-meter cable (Crowdfunding)

V-Link leverages GMSL2 to extend Raspberry Pi camera with up to 15-meter cable (Crowdfunding)

V-Link Raspberry Pi GSML2 camera

Videtronic’s V-Link is a compact solution designed to extend the range of Raspberry Pi MIPI DSI cameras using GMSL2 (Gigabit Multimedia Serial Link v2)  technology with up to 15-meter cables. We covered this type of solution in several NVIDIA Jetson Nano development kits and embedded computers, but never for the Raspberry Pi SBC. The V-Link relies on a MAX96717-based MIPI CSI-to-GSML2 board that connects to the MIPI CSI connector on the Raspberry Pi and a MAX96714-based GSML2-to-MIPI CSI board connected to the Raspberry Pi Camera Module. The solution provides an alternative to THine THSER101 Raspberry Pi camera extension kit that works with LAN cables up to 20 meters long. V-Link specifications Transmitter board Analog Devices MAX96717 CSI-2 to GMSL2 Serializer MIPI CSI input connector GSLM2 output connector Receiver board Analog Devices MAX96714 Single GMSL2/GMSL1 to CSI-2 Deserializer GSLM2 input connector MIPI CSI output connector to Raspberry Pi Camera Module Compatibility […]

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