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Object Detection for Inventory Stocking — AI & Machine Learning project by YenkoDev

Object Detection for Inventory Stocking

Software as a Service

No

Category

AI & Machine Learning

Clients

Confidential

Techstack

PythonYOLOv5PyTorchOpenCVFlaskRaspberry Pi

Purpose

Counting stock by hand is tedious and easy to get wrong, and the numbers drift out of date the moment someone forgets to log a change. A capstone team set out to prove that a camera and an AI model could keep an accurate count of phones in a storage cabinet on their own — no manual tallies.

Description

We trained a vision model to recognize and count each phone model in the cabinet from a live camera feed, then served the annotated video and running totals to any browser on the network. Every count is written to a records file so inventory stays current without anyone lifting a clipboard, and the whole pipeline runs on a small onboard computer right at the shelf. It is a practical piece of applied computer vision — the sort of real-world detection problem we take on and ship.

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