fresh bytes
Subscribe Now

Adafruit smart helmet guides bike riders with Arduino-based light shows (video)

adafruit-citi-bike-helmet.jpg

Bike sharing systems like New York’s Citi Bike may be taking off, but it’s doubtful that many participants can find every station without checking a map. Thankfully, Adafruit has unveiled a smart helmet project that could help at least a few of those riders get to their destinations while keeping their eyes on the road. The DIY effort feeds locations to an Arduino-based Flora board and its positioning add-ons, which in turn use a string of NeoPixel LEDs on the helmet as turn indicators. Commuters just have to watch for blinking lights to know where to go next. While the system isn’t easy to set up when cyclists have to manually enter coordinates, it is flexible: the open-source code lets it adapt to most any bike sharing system or headpiece.
via Engadget

Continue reading 

Leave a Reply

featured blogs
Jul 25, 2025
Manufacturers cover themselves by saying 'Contents may settle' in fine print on the package, to which I reply, 'Pull the other one'”it's got bells on it!'...

featured paper

Agilex™ 3 vs. Certus-N2 Devices: Head-to-Head Benchmarking on 10 OpenCores Designs

Sponsored by Altera

Explore how Agilex™ 3 FPGAs deliver up to 2.4× higher performance and 30% lower power than comparable low-cost FPGAs in embedded applications. This white paper benchmarks real workloads, highlights key architectural advantages, and shows how Agilex 3 enables efficient AI, vision, and control systems with headroom to scale.

Click to read more

featured chalk talk

Machine Learning on the Edge
Sponsored by Mouser Electronics and Infineon
Edge machine learning is a great way to allow embedded devices to run applications that can collect sensor data and locally process that data. In this episode of Chalk Talk, Amelia Dalton and Clark Jarvis from Infineon explore how the IMAGIMOB Studio, ModusToolbox™ Software, and PSoC and AURIX™ microcontrollers can help you develop a custom machine learning on the edge application from scratch. They also investigate how the IMAGIMOB Studio can help you easily develop and deploy AI/ML models and the benefits that the PSoC™ 6 Artificial Intelligence Evaluation Kit will bring to your next machine learning on the edge application design process.
Aug 12, 2024
56,389 views