The project aims at building a Visitor Verification System for domestic purposes using MAX78000FTHR utilizing state-of-the-art CNN models such as MTCNN and FaceNet for face recognition and ...

Corn seed materials of different quality were imaged, and a method for defect detection was developed based on a watershed algorithm combined with a two-pathway convolutional neural network (CNN) ...

Traditional facial recognition methods depend on a large number of training samples due to the massive turning of synaptic weights for low-level feature extractions. In prior work, a brain-inspired ...

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 ...

Drowsiness detection is a safety technology that can prevent accidents that are caused by drivers who fell asleep while driving. The objective of this intermediate Python project is to build a ...

The code is tested using Tensorflow r1.7 under Ubuntu 14.04 with Python 2.7 and Python 3.5. The test cases can be found here and the results can be found here. 2018-04-10 Added new models trained on ...