Case Study: Image Processing based Chewing Detection & Analytics Application Development
This is our IP, which takes streams from the front face camera and not only detects the chewing but also counts chewing and provides aggregated rate. The Engibrains team developed a chewing algorithm from scratch.
Key Highlights
Innovative Chewing Detection Algorithm
Customized TensorFlow Model
Data-Driven Approach
| Engibrains’ Contribution
Segments We Worked On
Application
- Development of chewing detection algorithm from scratch
- The dataset was meticulously annotated to train the TensorFlow-based model effectively
- Validating the model’s performance on different scenarios and datasets.
QA
- Functional Testing: chewing detection and counting were accurate under various conditions
- Performance Testing: identify potential bottlenecks and areas for optimization
| Technologies Used
Our Tech Stack will reduce your risk
Language
- Python
- Tkinter
Platform OS
- X86
Tools
- TensorFlow