Hi there,
Thanks for dropping by. Here is a process flow for working on this gig.
Requirements & Planning
- Detailed discussion about your project goals (e.g., object detection, face recognition, motion tracking).
- Clarification of data sources (live camera feed, uploaded images, etc.).
Modelling & Development
- Implementation of YOLO or other CNN models to detect objects or scenes.
- OpenCV-based image processing and transformations.
- Building a full-stack web solution using Django or Flask, including front-end logic or dashboards.
Testing & Cloud Deployment
- Thorough testing of the computer vision pipeline.
- Deployment on Azure App Service (or AWS, etc.) with the ability to store data in databases (MySQL, SQL Server, PostgreSQL, etc.).
- Optional integration of Cloud Storage (Azure Blob, AWS S3, etc.) for storing images/videos or model artifacts.
If you have a project, or need guidance on setting up a robust, scalable Computer Vision system, please send a message and we can discuss.
We would discuss requirements, timeline, and deliverables to ensure you get the solution you need.
Thanks.