Verifier analyzes the snapshots of emails sent by cameras and helps to reduce the number of false alarms by identifying true and false events allowing the operator to make an informed decision.
Make it work, make it simple, make it affordable
Verifier is purpose built to minimize false alarms generated by environmental factors such as wind, rain, clouds, insects and more.
Using VCACores Deep learning algorithms it is able to classify objects and reduce false alarms by only allowing valid events to filter through
Deployed globally, adapted locally
Our unique “Logical Rules” coupled with our newly developed Deep Learning algorithm enables accurate detection and reduces false alarms to ensure that the monitoring stations obtain reliable alerts.
Our cameras are used in retail environments to provide a wide range of reports including footfall, heatmaps and customer flow.
Through the use of our cloud-based service uCountit retailers are increasing sales and reducing costs.
We have a long history of providing solutions to traffic and transport related analytics. We can produce live alerts and post event reports for statistical analysis including traffic flow, speed, types of vehicles, illegal actions and counting.