This research presents a Driver Drowsiness Detection System (DDDS) that uses a Convolutional Neural Network (CNN) to improve road safety. The system uses a vast dataset of 97,860 images from the ...

BONUS: Custom Object Counting Mode (TensorFlow implementation): You can train TensorFlow models with your own training data to built your own custom object counter system! If you want to learn how to ...

[and subsequent follow on work: Experimental Exploration of Compact Convolutional Neural Network Architectures for Non-temporal Real-time Fire Detection] "In this work we investigate the automatic ...

Linux has long been the backbone of modern computing, serving as the foundation for servers, cloud infrastructures, embedded systems, and supercomputers. As artificial intelligence (AI) and machine ...

The continuous development of deep learning improves target detection technology day by day. The current research focuses on improving the accuracy of target detection technology, resulting in the ...

Videos of animal behavior are used to quantify researcher-defined behaviors of interest to study neural function, gene mutations, and pharmacological therapies. Behaviors of interest are often scored ...

In this tutorial, we are going to implement an Emotion Recognition System or a Facial Expression Recognition System on a Raspberry Pi 4. We are going to apply a pre-trained model to recognize the ...

Your browser does not support the audio element. Let’s take a closer look at different C++ libraries that can become useful to every data scientist for traditional ...

Machine learning and computer vision technologies based on high-resolution imagery acquired using unmanned aerial systems (UAS) provide a potential for accurate and efficient high-throughput plant ...