abhijeetgupta23/Box-Detection-in-Warehouse-using-Vision-Based-ML-Engineering
This Repo contains a Box Detection Application capable of identifying box containers in conveyor belt pictures.
This application helps warehouse and logistics managers automate the process of monitoring items on conveyor belts. By uploading pictures of a conveyor belt, it identifies and counts boxes, distinguishes between different box types, and can even detect damaged boxes. This is ideal for anyone overseeing inventory, sorting, or quality control in a fast-paced warehouse environment.
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Use this if you need to automatically count, sort, or check the condition of boxes moving on a conveyor belt to improve inventory accuracy and operational efficiency.
Not ideal if your primary need is identifying items that are not boxes, or if you require real-time video stream analysis rather than image-based detection.
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Last pushed
Feb 20, 2024
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