Minimalist AI Potato Counter, ESP32-C5 Dual-Band WiFi Signal Analyzer, Portable Hand-Drawn Photo Machine

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Minimalist AI Potato Counter

This project showcases a highly practical AI vision system for automatically counting potatoes on a conveyor belt.

Unlike common large AI models, this system is very lightweight, capable of accurately recognizing and counting potatoes in video with just a single frame for labeling and training. It is based on Ultralytics’ ObjectCounter and YOLO11 nano model, requiring no large datasets or complex infrastructure, making it ideal for manufacturing and automation scenarios.

This project demonstrates the value of AI in real industrial applications: focused, simple, and efficient, it can quickly solve specific problems, significantly saving labor and time costs.

Source:https://github.com/vietnh1009

German University Develops High-Speed Cable Robot

This is a highly technological cable robot CARGOLin developed by the ISW team at the University of Stuttgart, featuring an advanced cable-driven system that achieves astonishing dynamic performance with high speed (up to 15 meters per second) and high acceleration (up to 35g) through eight powerful electric winches.

The robot uses an efficient motion control system that can perform motion calculations in a very short time, achieving flexible and precise hybrid control. Interestingly, its frame can also self-adjust in real-time, providing researchers with a flexible environment to test new strategies for obstacle avoidance.

This robot not only boasts excellent performance but also has high playability and research value, definitely making it hard to look away!

Source:https://x.com/lukas_m_ziegler/status/1992956113726124177

ESP32-C5 Dual-Band WiFi Signal Analyzer

This is a DIY dual-band WiFi signal analyzer tool made using the new ESP32-C5 development board. By pairing it with a display that supports Arduino_GFX (such as ILI9341), it can scan and visually display the strength and distribution of surrounding 2.4G and 5G WiFi signals.

Unlike traditional methods of monitoring WiFi with a phone or computer, this dedicated analyzer is more economical and practical, suitable for continuous monitoring and optimizing wireless networks at home or in the workplace. The ESP32-C5 supports dual-band WiFi, allowing simultaneous analysis of 2.4G and 5G channels, helping you easily choose channels with less interference and faster speeds, making it an ideal tool for network optimization and maker experiments.

Source:https://www.instructables.com/ESP32-C5-Dual-Band-WiFi-Analyzer/

Portable Hand-Drawn Photo Machine

This creative camera, named SketchCam, can directly “hand-draw” the images you capture onto paper with a pen! It is not just an ordinary camera but a portable device that combines photography and automatic drawing functions.

The core highlight is that it uses a 3D-printed structure and open-source hardware like Raspberry Pi to automatically control the pen to draw lines on paper, transforming captured photos into unique line art style works. Through clever software algorithms, photos are converted into artistically appealing hand-drawn lines rather than traditional photo prints. Each “photo” is unique, imbued with the warmth and artistic flair of hand-drawing, making it perfect for DIY enthusiasts and those seeking something different.

Source:https://www.hackster.io/news/forget-filters-get-a-hand-drawn-print-from-this-diy-camera-3b227fc55389

Gesture-Controlled Robot Anytime, Anywhere: Anti-Interference Wearable Device is Here!

This innovative wearable device developed by a team of engineers at the University of California, San Diego, allows users to stably control robots and mechanical devices using natural gestures even while running, riding, or in bumpy environments.

It employs flexible electronic patches that integrate motion and muscle sensors, a Bluetooth microcontroller, and a stretchable battery, using AI deep learning algorithms to filter out interference signals in real-time, ensuring the accuracy and responsiveness of gesture recognition. Whether in high-dynamic industrial scenarios, medical rehabilitation, or underwater operations, this technology makes human-machine interaction more intuitive, efficient, and reliable.

The biggest highlight is its high tolerance for various “noise” interferences in real-world environments, paving the way for smarter and more practical human-machine interfaces in the future.

Source:https://today.ucsd.edu/story/wearable-lets-users-control-machines-and-robots-while-on-the-move

The weekly was first published in the DF Maker Community

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