Need Help with a Camera-Based Track & Trace System for Flowers and Plants
Hi everyone,
I'm a beginner in computer vision and looking for out-of-the-box solutions to build a camera-based track & trace system for flowers and plants. Here's what I'm trying to achieve:
- Identify different types of flowers and plants passing on carts in a live video feed.
- Identify the type of cart being used.
- Count the number of layers on the cart and the number of containers (fusten) per layer.
The goal is to match the camera's data with the transporter's system, which already knows the exact number of carts, layers, containers, and flower types moving through the supply chain. This matching would ensure that the correct carts follow the correct routes and provide real-time updates on the status (current location) of the shipments for stakeholders.
I've experimented with ChatGPT, and the results were surprisingly good! It was able to recognize different types of flowers and plants on photos of carts filled with plants and flowers. In one test, it achieved a 100% score matching 11 pictures of carts to 11 rows of data describing the carts, products, and quantities.
Now, I want to translate this success into a real-world system. As I'm new to this field, I would love your advice on the best way to approach this project. Any recommendations for tools, libraries, or practical tips for implementation would be greatly appreciated!
Thank you in advance for your help!