Video Intelligent Monitoring Solution
Detect process anomalies and errors in real-time from video
Core Element
Real-Time Detection of Process Errors and Anomalies
Detects process errors and anomalies in real-time from streaming IP camera video footage.
Requires only normal video footage (no errors) for training.
Functions
From Monitoring to Intelligent Process Analytics
Monitoring and Control
Real-time monitoring and camera control of
live video footage of manufacturing processes.
Real-Time Anomaly Detection
Notify users in real-time when errors
and anomalies are detected.
Statistical Analysis
A complete statistical analysis of errors
and anomalies together with trend information.
Model Management and Deployment
Centralized control of new deep learning models
from training to deployment.
Features
Technologies Optimized for Process Monitoring
Feature
1
Anomaly Detection via Unsupervised Learning
Our detection model is optimized for manufacturing process video monitoring, and can be trained using only normal operational video footage.
Feature
2
Detection Algorithm Robust to Environmental Changes
Robust and reliable detection of anomalies even in the presence of changes in lighting and the background environment.
Feature
3
Auto-Calibration for Camera Repositioning
Automatically adjusts the image target inspection region for any changes in camera alignment and position.
Contents
Customer Use Cases
Industries
Reliable and accurate video monitoring and inspection customized for your needs
SAIGE VIMS is being applied to solve a wide range of challenging problems across diverse industries.
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SAIGE VIMS: Real-Time Intelligent Video Monitoring for EV Rechargeable Battery Production
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