Text localization app
- #Text Detection
Text localization system – processes images to identify and localize tex
- Computer Vision
Impact
Our team developed a system that takes in a photo and makes localization of text.
Services we provided
Developed: model for text localization
Deployed: AWS with custom API on Flask
Tech Stack
Pytorch
Python
Challenges and Solutions
🧐 Challenges
- Variability in Images: Differing image quality, fonts, and backgrounds affect accuracy.
- Text Size and Orientation: Small, rotated, or skewed text poses localization challenges.
- Real-time Processing: Ensuring quick and efficient text detection in real-time scenarios.
- Scalability: Handling high user demand while maintaining system performance.
💡 Solutions
- Robust Preprocessing: Advanced image preprocessing to handle diverse image conditions.
- Multi-scale Models: Implementing models capable of detecting text of varying sizes and orientations.
- Optimized Algorithms: Utilizing efficient algorithms for real-time text processing.
- Cloud Deployment: Leveraging AWS infrastructure for scalability, deploying a custom Flask API.