Edge Impulse Experts / Anomaly detection for packaging quality assurance Public

Target: Arduino UNO Q (Qualcomm QRB2210) Clone this project

Welcome to Edge Impulse, the largest community of edge AI developers!
This is a public Edge Impulse project, use the navigation bar to see all data and models in this project; or clone to retrain or deploy to any edge device.

Anomaly detection for packaging quality assurance

Images

About this project

This public Edge Impulse project does not have a README yet. Clone this project to add new data or retrain this project, or to deploy this project to a device.

Data (152 items)

View all

good_package.6r4vhntu

ID: 2951405820

Label: good_package

good_package.6r4vhi64

ID: 2951405799

Label: good_package

good_package.6r4vi3nj

ID: 2951405840

Label: good_package

good_package.6r4vhfiq

ID: 2951405790

Label: good_package

good_package.6r4vhoo1

ID: 2951405823

Label: good_package

good_package.6r4vhjtd

ID: 2951405806

Label: good_package

good_package.6r4vhkuj

ID: 2951405810

Label: good_package

good_package.6r4vi24i

ID: 2951405835

Label: good_package

Model accuracy, Impulse #1-deployed (Unoptimized (float32))

View 1 other experiment

Validation set

Test set

-

On-device performance (Arduino UNO Q (Qualcomm QRB2210), Unoptimized (float32))

Latency

14 ms.

Flash usage

534.2K

Run this model

Scan QR code or launch in browser

Launch in browser

Dataset summary

Data collected

152 items

Labels

good_package

Project info

Project ID	1030618
Project version	1
License	3-Clause BSD
No. of views	17
No. of clones	0