2025 BrainChip Discussion, page-4182

https://docs.edgeimpulse.com/experts/computer-vision-projects/fomo-stock-tracker-brainchip

Manage the availability and location of your products in the warehouse using the Brainchip AKD1000 for fast and seamless detection using Machine Vision.

Created By: Christopher Mendez

Public Project Link:

Introduction

Industries, stores, workshops and many other professional environments have to manage an inventory. Whether of products or tools, this need is normally addressed with a limited digital or manual solution. This project aims to contribute to the cited need with a smart approach that will let you know the products/tools quantity and their exact location in the rack, box or drawer.

Project overview

The system will be constantly tracking the terminal blocks on a tray, counting them and streaming a live view in a web server. In addition, you will have real-time location feedback on an LED matrix.

Hardware and Software Requirements

To develop this project we will use the following hardware:

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  Akida™ PCIe Board

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  PCIe Slot For Raspberry Pi 5 Extension Adapter Board

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  Raspberry Pi 5

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  Camera Module 3 - IMX708

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  RGB LED Matrix

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  Grove Base Hat for Raspberry Pi (Optional)

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  Custom 3D parts

Hardware required for the project

Akida™ PCIe Board

It should be noted that the AKD1000 Neuromorphic Hardware Accelerator is the main component of this project thanks to some interesting characteristics that make it ideal for this use case.

Considering that our project will end up being deployed in industrial and commercial environments, it's crucial that it can do its job efficiently and with very low energy consumption. This is where BrainChip's technology makes sense. Akida™ neuromorphic processor mimics the human brain to analyze only essential sensor inputs at the point of acquisition - processing data with unparalleled performance, precision, and economy of energy.

https://studio.edgeimpulse.com/public/425288/live