Learn how to overcome the challenges and deploy your machine learning models on Raspberry Pi using some tools and techniques.

When macOS stopped supporting my Canon scanner, I turned to a Raspberry Pi and open source, self-hosted tools to bring it ...

Better known for its artificial intelligence software solutions, Hugging Face has now introduced the Reachy Mini open-source ...

A Raspberry Pi with a camera module can be an AI-powered trail camera for monitoring wildlife. Using TensorFlow Lite or a Coral Edge TPU, the Pi can detect and classify different animals based on ...

Installing File Browser is like installing any other program on your Raspberry Pi. In my case, I'm using a DietPi installation, so I can easily install File Browser using the recommended software ...

AI-powered wildlife monitoring device using Raspberry Pi Zero 2 W and Sony IMX500 smart camera for real-time, offline animal detection.

Underwater object detection is essential for ocean exploration but presents significant challenges, including poor performance in detecting small objects, environmental complexity, and high ...

The most comprehensible part of a object detection project is the visualization. Here, two images were selected to display the prediction performance of models. First image contained "relative large" ...

Remote sensing change detection (CD) aims to accurately reveal surface changes by comparing two temporally separated images of the same area. However, in complex environments, insufficient edge detail ...

Real-time Android app for product damage detection using TensorFlow Lite and Camera2 API. Classifies No Damage, Scratch, or Dent directly from live camera stream. Fully on-device ML, offline, and i ...