camera

Posted on by Jean-Luc Aufranc (CNXSoft) - No Comments 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 […]

Posted on by Debashis Das - 4 Comments on Solderable Rockchip RV1106 system-on-module features 112 castellated pins, offers WiFi 6 and Bluetooth 5.2 connectivity

Solderable Rockchip RV1106 system-on-module features 112 castellated pins, offers WiFi 6 and Bluetooth 5.2 connectivity

Luckfox Core1106 Core Board

Luckfox has recently released the Core1106 Core Board Rockchip RV1106 system-on-module with a compact 30x30mm size, 112 castellated pins designed to be soldered on top of a PCB, and an optional WiFi 6 and Bluetooth 5.2 module and IPEX 1.0 antenna connector. The Rockchip RV1106 camera SoC integrates 128MB (G2 version) or 256MB (G3 version) DDR3L memory, a 4th-gen 1 TOPS NPU, and a 3rd-gen Image Signal Processor (ISP) that supports hardware video encoding (H.264/H.265). Other interfaces include MIPI CSI, RGB LCD, USB, Ethernet, GPIO, SPI, I2C, UART, and more. These features make this board suitable for applications like AI-driven image recognition, smart cameras, IoT devices, and edge computing. Luckfox RV1106 system-on-module specifications SoC – Rockchip RV1106G2/G3 CPU – Arm Cortex A7 @ 1.2GHz with an integrated RISC-V co-processor. NPU 4th-gen Rockchip NPU with hybrid quantization (int4, int8, int16) 0.5 TOPS (RV1106G2) or 1 TOPS (RV1106G3) ISP – 3rd-gen 5MP high-performance ISP, HDR, WDR, […]

Posted on by Debashis Das - 1 Comment on AAEON BOXER-8654AI-KIT – NVIDIA Jetson Orin NX-based Edge AI kit features four gigabit Ethernet ports with PoE support

AAEON BOXER-8654AI-KIT – NVIDIA Jetson Orin NX-based Edge AI kit features four gigabit Ethernet ports with PoE support

AAEON BOXER-8654AI-KIT Edge AI kit

The AAEON BOXER-8654AI-KIT Edge AI kit is a compact development kit built around the NVIDIA Jetson Orin NX modules with four gigabit Ethernet ports (with optional PoE) and an Out-of-Band (OOB) management header, and designed for applications like smart cities, IoT ecosystems, edge AI, and others. The multi-functional carrier board also offers six USB 3.2 Gen 2 ports, HDMI video output, two MIPI CSI, two DB-9 ports for RS-232/422/485 and CAN Bus, and a 40-pin NVIDIA Jetson-compatible GPIO header for I2C, SPI, and UART interfaces. Expansion options include M.2 E and B-key slots for Wi-Fi and 5G modules (with onboard SIM), an M.2 M-Key slot for NVMe SSDs, and a SATA connector. AAEON BOXER-8654AI-KIT specifications SoM – NVIDIA Jetson Orin NX module CPU 8GB Version – 6-core Arm Cortex-A78AE v8.2 64-bit CPU, 1.5MB L2 cache + 4MB L3 cache 16GB Version – 8-core Arm Cortex-A78AE v8.2 64-bit CPU, 2MB L2 […]

Posted on by Jean-Luc Aufranc (CNXSoft) - No Comments on OpenFlexture Microscope is an open-source, 3D-printed microscope based on Raspberry Pi 4 SBC and Camera Module v2

OpenFlexture Microscope is an open-source, 3D-printed microscope based on Raspberry Pi 4 SBC and Camera Module v2

OpenFlexure Microscope

The OpenFlexture Microscope is a DIY, open-source, 3D-printed microscope built around the Raspberry Pi 4, a Raspberry Pi Camera Module v2, and a choice of optics or various qualities up to lab-grade optics. It can be motorized using low-cost geared stepper motors and can achieve a resolution of up to around 100 nanometers I found out about the OpenFlexture Microscope in one of the sessions at the upcoming FOSDEM 2025 event whose description partially reads: The OpenFlexure Microscope is an open-source laboratory-grade digital robotic microscope. As a robotic microscope, it is able to automatically scan microscope slides creating, enormous multi-gigapixel digital representations of samples. The microscope is already undergoing evaluation for malaria and cancer diagnosis in Tanzania, Rwanda, and the Philippines. As an open project, our key goal is to support local manufacturing of microscopes in low-resource settings. [..] high-quality consistent documentation has enabled thousands of microscopes to be built […]

UP 7000 x86 SBC