This is an ESP32 Pico D4 project with an accelerometer and 0.69" oled display powered by a rechargeable LIR2450 coin cell. Source files are available on github.com. Mike Rankin writes: I was not made for any specific purpose and was a design challenge to try and made it as small as...

SBC-U5A & SBC-U5C - Credit Card sized SBC (i.MX6 ULL) Novasom Industries' U5 is a small board, approximately credit card size, that consumes little power, but that can do much more than what you think thanks to the ARM core A7 and the optimization of our SW systems. Arrives with...

AAEON, an award-winning developer of advanced AI hardware, releases the BOXER-8120AI, a powerful and compact controller for edge AI applications. Powered by the NVIDIA Jetson TX2, the BOXER-8120AI supports 256 CUDA cores and a range of AI frameworks including TensorFlow, Caffe2, and...

This is a nice build of a small UV exposure box using UV LEDs and Arduino by Elias Zacarias. The details are available on Part 1 and Part 2 posts of his blog.damnsoft.org. Design files are open source and uploaded to github.com. The boards are designed on KiCAD and code is for...

Amphenol Advanced Sensors SM-UART-04L Laser Dust Sensor offers a 5.5V rating, a 100mA current consumption, and a 3.3V output performance. This sensor detects dust particle concentrations in the air by using an optical sensing method. The SM-UART-04L sensor finds small particles such as...

DIABNEXT’s ‘CLIPSULIN’ device attaches to insulin pens and employs Nordic’s nRF52832 SoC to wirelessly send recorded insulin injection data via Bluetooth LE or NFC. Nordic Semiconductor today announces that Taiwan-based DIABNEXT, a healthcare services company, has selected...

A team of researchers from Germany and Argentina have devised an ultra-thin planar Hall effect (PHE) sensor capable of detecting very faint magnetic fields even when flexed or wrapped around a wire. by Julien Happich @ www.eenewsembedded.com In a paper titled “Highly compliant planar...

Sipeed MAix: AI at the edge AI is pervasive today, from consumer to enterprise applications. With the explosive growth of connected devices, combined with a demand for privacy/confidentiality, low latency and bandwidth constraints, AI models trained in the cloud increasingly need to be...