Dental Cavity Detection System

• Tech Stack: Python, Tensorflow (CNN), Computer Vision, SSD Algorithm
• Github URL: Project Link

Detecting dental cavities can be challenging due to the unique characteristics of teeth and various factors that affect the quality of dental radiographs. These factors make it difficult for dentists to accurately interpret X-ray images and identify cavities.

The developed system employs computer vision (OpenCV) techniques to enhance the quality of dental radiograph images. By improving the readability of the images, it aims to provide dentists with clearer and more detailed visuals for accurate cavity detection.

The system utilizes a Convolutional Neural Network (CNN) architecture to analyze the enhanced dental radiograph images and detect the presence of cavities. CNNs are well-suited for image analysis tasks, and by training the network on annotated data, the system can learn to identify specific patterns and features associated with dental cavities.