ARVAS – Anomaly Recognition Video Analytics System

Using machine learning and big data analysis, we enable a smarter, more powerful way of providing surveillance using ARVAS.
Traditional Surveillance Monitoring (lots of screens) to ARVAS innovative approach

ARVAS Benefits

Self-Learning with
Wider Coverage
Unsupervised Machine Learning
ARVAS uses the latest machine learning techniques.

Autonomous Real-Time Detection
No set up of any rules needed, other than installation.

Unlimited Variation of Behaviours
Behaviours are no longer limited by fixed rules. ARVAS learns automatically to distinguish between normal and abnormal behaviours.

Easy Deployment
High Compatibility
Able to accept relatively low rates and resolutions, accommodating older legacy camera sources.

Not Scene Dependent
Applicable to any camera scene.

Highly Scalable
Scalable for thousands of cameras.

Highly Efficient and
Scalable Systems
Event Clustering
ARVAS’ system can cluster similar events together and allow user prioritization.

GPU Acceleration
Effectively serves a larger number of cameras per server. (Up to 200 cameras per server)

Effective, proactive monitoring leads to a lower reliance on routine physical patrols, especially during silent hours, leading to significant cost savings with improved security standards.

Detect Unlimited Range Of Anomalies With ARVAS
With self-learning capability, ARVAS can adapt to different environments and detect unlimited range of anomalies across all sectors