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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 […]

Posted on by Jean-Luc Aufranc (CNXSoft) - 1 Comment on Morse Micro MM8108 WiFi HaLow SoC supports up to 43.33 Mbps transfer rate, improves range and power efficiency

Morse Micro MM8108 WiFi HaLow SoC supports up to 43.33 Mbps transfer rate, improves range and power efficiency

Morse Micro MM8108

Morse Micro MM8108 is a new WiFi HaLow (802.11ah) SoC with a throughput of up to 43.33 Mbps, and improved range and power efficiency compared to its predecessor the Morse Micro MM6108 introduced in 2022 and supporting up to 32.3 Mbps transfer rate. The new chip is also smaller at just 5x5mm in a BGA package instead of 6x6mm in a QFN48 package for the MM6108/MM6104, adds a USB 2.0 host interface besides SDIO 2.0 and SPI, as well as a MIPI RFFE (Radio Frequency Front-End) for integration and interoperability with multi-radio systems. Morse Micro MM8108 specifications: 32-bit RISC-V Host Applications Processor (HAP) Single-Chip IEEE802.11ah Wi-Fi HaLow transceiver for low-power, long-reach IoT applications Worldwide Sub-1 GHz frequency bands (850MHz to 950MHz) On-chip 26 dBm power amplifier with support for external FEM (Front End Module) option 1/2/4/8 MHz channel bandwidth for up to 43.3 Mbps data rate using 256-QAM modulation at […]

Posted on by Debashis Das - 1 Comment on Seeed Studio introduces ESP32-C3-based Modbus Vision RS485 and SenseCAP A1102 LoRaWAN outdoor Edge AI cameras

Seeed Studio introduces ESP32-C3-based Modbus Vision RS485 and SenseCAP A1102 LoRaWAN outdoor Edge AI cameras

Seeed Studio's Modbus Vision RS485 and SenseCAP A1102 outdoor Edge AI cameras

Seeed Studio has recently released the Modbus Vision RS485 and SenseCAP A1102 (LoRaWAN) outdoor Edge AI cameras based on ESP32-C3 SoC through the XIAO-ESP32C3 module for WiFi and the Himax WiseEye2 processor for vision AI. Both are IP66-rated AI vision cameras designed for home and industrial applications. The RS485 camera is designed for industrial systems and features a Modbus interface, making it suitable for factory automation and smart buildings. The SenseCAP A1102 uses LoRaWAN for long-range, low-power monitoring in remote locations. Both offer advanced AI for tasks like object detection and facial recognition. Besides its built-in RS485 interface, the Modbus Vision RS485 also supports LoRaWAN and 4G LTE connectivity via external Data Transfer Units (DTUs). With over 300 pre-trained AI models, the camera can do object detection and classification tasks making it suitable for industrial automation, smart agriculture, environmental monitoring, and other AI-driven applications requiring high performance. The SenseCAP A1102 […]

Posted on by Tomisin Olujinmi - 6 Comments on Looktech’s AI-powered smart glasses offer a 14-hour battery life, 13MP camera, and linear audio for $209 and up (Crowdfunding)

Looktech’s AI-powered smart glasses offer a 14-hour battery life, 13MP camera, and linear audio for $209 and up (Crowdfunding)

Looktech AI-powered smart glasses

Looktech AI Glasses are AI-powered smart glasses with a “privacy-focused design” and several lens options. They are similar to Meta’s Ray-Ban smart glasses but support GPT-4, Claude, and Gemini instead of Meta AI. Like Meta’s smart glasses, the Looktech AI Glasses incorporate headphones, a camera, and an AI model for a hands-free experience and personalized AI assistance. According to Looktech, the smart glasses can track calories, find recipes, set reminders, and perform image searches. The in-built 13MP camera can be used to capture high-res images and videos and the open-ear dual speakers provide “rich, spatialized immersive audio while keeping you aware of your surroundings.” Looktech has given some hardware specifications for the product but the list is a bit sparse. We have covered the much cheaper but underpowered LILYGO T-Glass. Although there are no promises of a physical AI agent, the Looktech glasses are similar to the M5Stack’s Module LLM […]

Posted on by Jean-Luc Aufranc (CNXSoft) - No Comments on Raspberry Pi CM5 review with different cooling solutions (and camera tribulations)

Raspberry Pi CM5 review with different cooling solutions (and camera tribulations)

Raspberry Pi CM5 IO board cooling heatsink active cooler

The day of Raspberry Pi CM5 release, I published a mini review of the Raspberry Pi Development Kit for CM5 showing how to assemble the kit and boot Raspberry Pi OS, and I also ran sbc-bench benchmark to evaluate the performance. Sadly, the Broadcom BCM2712 CPU did throttle during the test meaning cooling was not optimal when the CM5 IO board was inside the IO Case and the Compute Module 5 was only cooled by the fan. So today, I’ll repeat the same test with other cooling solutions namely the official Raspberry Pi Cooler for CM5 (that’s a heatsink only),  and EDATEC’s CM5 active cooler similar to the active cooler for the Raspberry Pi 5, but designed for the CPU module. But before that, I’ll do some house cleaning so to speak since last time, I booted Raspberry Pi OS from an NVMe SSD and I noticed the camera did […]

Posted on by Jean-Luc Aufranc (CNXSoft) - 1 Comment on Olimex ESP32-P4-DevKit offers Ethernet, USB JTAG, MIPI DSI and CSI interfaces

Olimex ESP32-P4-DevKit offers Ethernet, USB JTAG, MIPI DSI and CSI interfaces

Olimex ESP32-P4 devkit

Olimex ESP32-P4-DevKit is a compact development board powered by a 400 MHz ESP32-P4 general-purpose dual-core RISC-V microcontroller with a 10/100Mbps Ethernet RJ45 connector, a USB-C Serial/JTAG connector, MIPI DSI/CSI connectors for a display and a camera, GPIO headers and UEXT connector, Boot and Reset buttons, and a few LEDs. In some ways, it offers similar to the Waveshare ESP32-P4-NANO board we covered last month, but in a different form factor, and it lacks WiFi 6 connectivity and a USB Type-A connector. It’s also much more compact and cheaper than the official ESP32-P4-Function-EV-Board launched this summer, but again, with fewer features. Olimex ESP32-P4-Devkit: Microcontroller – ESP32-P4 MCU Dual-core RISC-V microcontroller @ 400 MHz with AI instructions extension and single-precision FPU Single-RISC-V LP (Low-power) MCU core @ up to 40 MHz GPU – 2D Pixel Processing Accelerator (PPA) VPU – H.264 and JPEG codecs support Memory – 768 KB HP L2MEM, 32 […]

Posted on by Debashis Das - No Comments on STM32-powered MM6108-EKH05 Wi-Fi HaLow evaluation kit supports Bluetooth, Camera, and Qwicc/MikroBus modules

STM32-powered MM6108-EKH05 Wi-Fi HaLow evaluation kit supports Bluetooth, Camera, and Qwicc/MikroBus modules

Morse Micro MM6108 EKH05 evaluation kit

Morse Micro has recently launched the MM6108-EKH05 Wi-Fi HaLow Evaluation Kit designed to reduce the development and deployment time of IoT products. Built around the Morse Micro MM6108 HaLow SoC, this kit combines long-range, low-power wireless connectivity with a range of integrated sensors, making it ideal for IoT engineers and developers. Key features include Wi-Fi HaLow connectivity, an STM32U585 Cortex-M33 MCU, integrated sensors (temperature, humidity, accelerometer), 16 MB of SPI Flash memory, programmable GPIOs, power measurement tools, and WPA3 security for reliable and secure communication. The kit also includes alternative power options including USB, battery, or external power, and embeds support for a camera, MikroBus and Qwicc expansion modules, Bluetooth, and current measurement circuitry. All these features make this kit useful for applications including smart homes, industrial automation, and agricultural monitoring. MM6108-EKH05 specifications: MCU – STM32U585 Arm Cortex-M33 microcontroller @ 160 MHz with TrustZone, 2 MB Flash Storage – 16Mbit […]

Posted on by Tomisin Olujinmi - No Comments on STMicro releases STM32N6 Cortex-M55 MCU series with in-house NPU and dedicated computer vision pipeline

STMicro releases STM32N6 Cortex-M55 MCU series with in-house NPU and dedicated computer vision pipeline

STM32N6 AI Demo

STMicro has announced the availability of the STM32N6 microcontroller series based on the 800MHz ARM Cortex-M55 and the 600 GOPS-capable Neural-ART Accelerator. The STM32N6 is the company’s “newest and most powerful STM32 series,” bringing MPU-level performance to MCUs. It is the first STM32 to feature the Arm Cortex-M55 and offer up to 4.2MB of embedded RAM. Additionally, the chip includes ST’s NeoChrom GPU and an H.264 hardware encoder. According to Remi El-Quazzane, MDRF (Microcontrollers, Digital ICs, and RF Products) President at STMicro, the STM32N6 “marks the beginning of a long journey of AI hardware-accelerated STM32, which will enable innovations in applications and products in ways not possible with any other embedded processing solution.” STMicro offers two versions of the STM32N6 MCU: the STM32N6x7 AI line featuring the Neural-ART accelerator and the STM32N6x5 GP (general-purpose) product line without an NPU. The microcontroller series is primarily targeted at computer vision and audio […]

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