Object recognition is a computer vision technique for identifying objects using video imaging, essentially empowering
computers the ability to 'see' things like humans.
Object recognition is a key output of deep learning and machine learning algorithms.
Benefits:
Maybe installed on clients existing CCTV systems
Accurate object recognition
Replace costly and unreliable audit methodology
From retail to security details
Whatever we enroll gets recognized guns, knifes, POI's, etc
Realtime metrics
Key Features:
Highly accurate object recognition (down to SKU level in retail environments.)
Extends to automotive (vehicle recognition), manufacturing (product recognition) and related
Additional layer of security / safety / early warning mechanism
Real time alerts and triggers based on custom rules
Easy to deploy and scale
Custom analytics dashboard
Use Cases:
Big Data & Business Intelligence
Accurate auditing (which can be 24x7) including share of shelf, packaging, quality checks, safety checks (existence of fire hydrants, safety equipment, etc)
