VIDEO CONTENT ANALYSIS (VCA)
Our industrial video content analysis system CenterVision uses neural networks to recognize objects in manufacturing plants with an accuracy of up to 98%
How it works
Our industrial video content analysis system CenterVision uses neural networks to recognize objects. It can do so with an accuracy of 98%. It monitors the production process in real time, sends automatic notifications to the control center, and reports on all violations of safety rules.
Advantages
Reduction of errors in production
A neural network recognition accuracy of up to 98% reduces the probability of error to the absolute minimum
Instant notification of violations
A 2.4-second response time allows the system to instantly recognize violations of safety rules
Negligible influence of weather
Accurate recognition of objects from great distances regardless of rain, snow or fog = reduced dependence on good weather
Extensive coverage with few resources
Recognition of small objects from great distances (165-230 ft) makes control possible with fewer cameras
Benefits
- security monitoring 24/7
- object recognition with an accuracy of up to 98%
- real-time object analysis
- instant notification system
- complete statistics on violations
Human VS Machine vision
Human
Machine
Accuracy
Inconsistent
98% information recognition
Concentration
Level of concentration drops every 1.5 hours and approaches zero by the end of the day
Never decreases
Efficiency
Requires rest every 8 hours
24/7/365
Memory
Selective short-term
Provides and stores complete statistics
Control capacity
3 to 7 objects within the field of view
Any number of objects
How it works
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