devaldaki3/packinspect-anomaly-detector
PackInspect is a low-code visual inspection tool built using TensorFlow and Streamlit. It allows users to detect defects in bottle images (or similar packaging components) by uploading images or capturing them via webcam.
This tool helps quality assurance teams quickly identify defective packaging components like bottles. You provide images by uploading them or using a webcam, and the system instantly tells you if the item is 'Good' or 'Defect', along with a confidence score. This is for manufacturing quality control personnel or operations managers who need to ensure product quality and reduce manual inspection errors.
No commits in the last 6 months.
Use this if you need an automated visual inspection system to detect defects in product packaging on a production line, aiming to improve quality and efficiency.
Not ideal if you need to detect subtle, complex, or highly varied defect types beyond simple 'Good' or 'Defect' classification for objects other than packaging.
Stars
95
Forks
—
Language
Python
License
—
Category
Last pushed
Jul 08, 2025
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/computer-vision/devaldaki3/packinspect-anomaly-detector"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
blaz-r/SuperSimpleNet
Official implementation of SuperSimpleNet [ICPR 2024, JIMS 2025]
tianyu0207/RTFM
Official code for 'Weakly-supervised Video Anomaly Detection with Robust Temporal Feature...
tientrandinh/Revisiting-Reverse-Distillation
(CVPR 2023) Revisiting Reverse Distillation for Anomaly Detection
eliahuhorwitz/3D-ADS
Official Implementation for the "Back to the Feature: Classical 3D Features are (Almost) All You...
MaticFuc/SALAD
[ICCV 2025] SALAD -- Semantics-Aware Logical Anomaly Detection