Teledyne DALSA has recently announced the Tetra line scan camera family with 2.5GbE networking, up to 8K resolution, a line rate of up to 150 kHz, and offered in monochrome or color versions. Traditional cameras (aka scan camera) will capture a full frame, but line scan cameras will only capture one line at a time to scan an object or scene as it moves past the camera providing higher resolution image provided the speed of the scan and the motion of the object are syncrhonized, for instance, on a production line. Line scan cameras like the Tetra are typically used for quality control at the factory, document scanning, license plate scanning, and scientific research (e.g. satellite imaging). Teledyne Tetra specifications: Color cameras Tetra 2k Color – TL-GC-02K05T-00 Resolution – 2048 x 3 Pixel size – 14 μm Max line rate – 50 kHz x 3 Tetra 4k Color – […]
Mini UPS with 5V, 9V, 12V DC, and PoE output could be useful for routers, security cameras, SBCs, and mini PCs
Most uninterruptible power supplies (UPS) require AC voltage and use specific batteries that must be changed every few years. But those may be oversized and not the most efficient if you just want to keep single board computers (SBCs), low-power mini PCs, routers, or security cameras up and running during power failures. Luckily, some mini UPS solutions use standard rechargeable 18650 batteries, output 5V, 9V, or 12V DC, or even PoE (15V/24V) which may be more suitable for those use cases. Many mini UPS solutions come from WGP (Wonderful Green Power), so let’s have a look at the WPG103A model. WPG103A mini UPS specifications: Batteries – 4x 18650 batteries for a combined 10,400 mAh capacity Protection – Overcharge, over-discharge, overcurrent, and short circuit protection Misc – Power button, status LEDs Power Input – 12V/2A via DC jack Power Output 5V via USB Type-A port (likely limited to 1.5A or 2A […]
MicroPython-programmable OpenMV N6 and AE3 AI camera boards run on battery for years (Crowdfunding)
OpenMV has launched two new edge AI camera boards programmable with MicroPython: the OpenMV AE3 powered by an Alif Ensemble E3 dual Cortex-M55, dual Ethos-U55 micro NPU SoC, and the larger OpenMV N6 board based on an STMicro STM32N6 Cortex-M55 microcontroller with a 1 GHz Neural-ART AI/ML accelerator. Both can run machine vision workloads for several years on a single battery charge. The OpenMV team has made several MCU-based camera boards and corresponding OpenMV firmware for computer vision, and we first noticed the company when they launched the STM32F427-based OpenMV Cam back in 2015. A lot of progress has been made over the years in terms of hardware, firmware, and software, but the inclusion of AI accelerators inside microcontrollers provides a leap in performance, and the new OpenMV N6 and AE3 are more than 100x faster than previous OpenMV Cams for AI workloads. For example, users can now run object […]
IMDT V2N Renesas RZ/V2N SoM powers Edge AI SBC with HDMI, MIPI DSI, dual GbE, WiFi 4, and more
IMD Technologies has recently introduced the IMDT V2N SoM based on the newly launched Renesas RZ/V2N low-power AI MPU and its SBC carrier board designed for robotics, smart cities, industrial automation, and IoT applications. The SoM ships with 8GB RAM and 32GB eMMC flash, and supports various interfaces through B2B connectors including two 4-lane MIPI CSI-2 interfaces, a MIPI DSI display interface, and more. The SBC supports MIPI DSI or HDMI video output, dual GbE, WiFi 4 and Bluetooth 5.2, as well as expansion capabilities through M.2 sockets. IMDT V2N SBC specifications: IMDT V2N SoM SoC – Renesas RZ/V2N Application Processor – Quad-core Arm Cortex-A55 @ 1.8 GHz (0.9V) / 1.1 GHz (0.8V) L1 cache – 32KB I-cache (with parity) + 32KB D-cache (with ECC) per core L3 cache – 1MB (with ECC, max frequency 1.26 GHz) Neon, FPU, MMU, and cryptographic extension (for security models) Armv8-A architecture System Manager […]
UNIHIKER K10 low-cost TinyML education platform supports image detection and voice recognition
UNIHIKER K10 is a low-cost STEM education platform for TinyML applications that leverages the ESP32-S3 wireless microcontroller with vector extensions for workloads such as image detection or voice recognition. The UNIHIKER K10 also features a built-in 2.8-inch color display, a camera, a speaker, a 2-microphone array, a few sensors, a microSD card, and a BBC Micro:bit-like edge connector for power signals and GPIOs. It’s a cost-optimized version of its Linux-based big brother – the UNIHIKER M10 – first unveiled in 2022. Arnon also reviewed the UNIHIKER in 2023, showing how to configure it, use the SIoT platform with MQTT message, and program it with Jupyter Notebook, Python, or Visual Studio Code. Let’s have a closer look at the new ESP32-S3 variant. UNIHIKER K10 specifications: Core module – ESP32-S3-WROOM-1 MCU – ESP32-S3N16R8 dual-core Tensilica LX7 up to 240 MHz with 512KB SRAM, 8MB PSRAM, 16MB flash Wireless – WiFi 4 and […]
Renesas RZ/V2N low-power AI MPU integrates up to 15 TOPS AI power, Mali-C55 ISP, dual MIPI camera support
Renesas has recently introduced the RZ/V2N low-power Arm Cortex-A55/M33 microprocessor designed for machine learning (ML) and computer vision applications. It features the company’s DRP-AI3 coprocessor, delivering up to 15 TOPS of INT8 “pruned” compute performance at 10 TOPS/W efficiency, making it a lower-power alternative to the RZ/V2H. Built for mid-range AI workloads, it includes four Arm Cortex-A55 cores (1.8GHz), a Cortex-M33 sub-CPU (200MHz), an optional 4K image signal processor, H.264/H.265 hardware codecs, an optional Mali-G31 GPU, and a dual-channel four-lane MIPI CSI-2 interface. The chip is around 38% smaller than the RZ/V2H MPU and operates without active cooling. The RZ/V2N is suitable for applications like endpoint vision AI, robotics, and industrial automation. Renesas RZ/V2N specifications CPU Application Processor – Quad-core Arm Cortex-A55 @ 1.8 GHz (0.9V) / 1.1 GHz (0.8V) L1 cache – 32KB I-cache (with parity) + 32KB D-cache (with ECC) per core L3 cache – 1MB (with ECC, […]
ESP32-S3 infrared thermal imaging camera module offers 80×62 resolution, 45° and 90° wide angle versions
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 […]
ESPNowCam library enables ESP32 video camera or data transmission with the ESP-NOW protocol
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. […]