MobileNet V3 Small Architecture
Age Detection via Facial Imagery
A deep learning-based computer vision system using the MobileNet V3 Small architecture to detect and classify a person's age in real-time with high accuracy and low latency.
PythonTensorFlowComputer Vision
About Project
This final project explores the capabilities of edge AI by implementing the MobileNet V3 Small architecture. This model was chosen because it is highly efficient to run on devices with limited computing power without significantly sacrificing accuracy.
The facial dataset was processed using TensorFlow and Keras. The system is equipped with a real-time camera interface that directly draws bounding boxes on faces and displays age estimations. This application has the potential to be integrated into smart retail and public security systems.