![ESP32 CoinCell board ESP32 CoinCell board](https://www.electronics-lab.com/wp-content/uploads/2019/02/52292089-4c8ae300-294a-11e9-8096-ea8b10b4526b.jpg)
ESP32 CoinCell board
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...
Continue Reading![NOVASOM’s U5 SBC features NXP iMX6 ULL CPU NOVASOM’s U5 SBC features NXP iMX6 ULL CPU](https://www.electronics-lab.com/wp-content/uploads/2019/02/u5_2-1024x682.jpg)
NOVASOM’s U5 SBC features NXP iMX6 ULL CPU
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...
Continue Reading![AAEON BOXER-8120 with Jetson TX2: Putting AI Anywhere You Need It AAEON BOXER-8120 with Jetson TX2: Putting AI Anywhere You Need It](https://www.electronics-lab.com/wp-content/uploads/2019/02/BOXER-8120AI-Front-1024x512-1024x512.png)
AAEON BOXER-8120 with Jetson TX2: Putting AI Anywhere You Need It
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...
Continue Reading![UV Exposure Box Project with timer UV Exposure Box Project with timer](https://www.electronics-lab.com/wp-content/uploads/2019/02/Finished_UV_Box.jpg)
UV Exposure Box Project with timer
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...
Continue Reading![Amphenol Advanced Sensors SM-UART-04L Laser Dust Sensor Amphenol Advanced Sensors SM-UART-04L Laser Dust Sensor](https://www.electronics-lab.com/wp-content/uploads/2019/02/amphenol.png)
Amphenol Advanced Sensors SM-UART-04L Laser Dust Sensor
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...
Continue Reading![Insulin Injection Monitor Dosage and Wirelessly Transmits Data to Smartphone Insulin Injection Monitor Dosage and Wirelessly Transmits Data to Smartphone](https://www.electronics-lab.com/wp-content/uploads/2019/02/NS_DIABNEXT-2_PNG-e1549964159365-1024x933.png)
Insulin Injection Monitor Dosage and Wirelessly Transmits Data to Smartphone
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...
Continue Reading![Researchers develop thin sensor to detect magnetic fields down to 200nT Researchers develop thin sensor to detect magnetic fields down to 200nT](https://www.electronics-lab.com/wp-content/uploads/2019/02/n-surfacehall2-e1549962191689-1024x347.jpg)
Researchers develop thin sensor to detect magnetic fields down to 200nT
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...
Continue Reading![Sipeed MAix: AI at the edge Sipeed MAix: AI at the edge](https://www.electronics-lab.com/wp-content/uploads/2019/02/Sipeed-MAix.png)
Sipeed MAix: AI at the edge
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...
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