UNITY ENVR2 PLUS 8TB W/CONTROL CENTER

ENVR2 PLUS 8 TB with Avigilon Control Center; AU Power Cord

The second generation of ES Appliances, ENVR2 PLUS, is Avigilon’s smallest appliance that unlocks Avigilon’s Next Generation Video Analytics capabilities for any connected video stream. It supports Classified Object Detection (COD), Appearance Search, Facial Recognition and License Plate Recognition (LPR) capabilities for up to eight cameras. With cybersecurity reinforced by Avigilon’s hardened OS, a distributed and threat-resistant network of ENVR2 PLUS appliances
provides security teams with complete coverage and centralized management of large geographies while preserving situational awareness and minimizing bandwidth usage over Wide Area Networks (WAN).

FEATURES
APPEARANCE SEARCH ON THIRD-PARTY CAMERAS
Quick and accurate search for a person of interest or object to take action and aid in better outcomes in forensic investigations on any third-party camera.

LOWER CAPEX
Non-analytic legacy cameras are utilized to run analytics, thereby reducing the burden of new investment, lowering the cost of on-prem hardware, and promoting the democratization of AI on all cameras. Upgrade ENVR2 PLUS remotely with a single signed and encrypted firmware package.

NEXT GENERATION VIDEO ANALYTICS
Go beyond people and vehicle classification and improve object classification of over 50 objects, faster forensic investigations to alert a match for person or vehicle on a watchlist using facial recognition, LPR and provide better perimeter protection for critical sites.

IMPROVE SCALE, SPEED, AND SECURITY
Hybrid Architecture enables appliances and devices to run multiple analytics services concurrently and on-demand, share resources within the site using on-prem hardware or our Avigilon Cloud Services. Allows maximization of computing resources across the infrastructure.

OPTIMAL WAN USAGE
Reduce playback bandwidth using HDSM when viewing video feed and only transmit what you need, when you need, optimized. Bring the recording closer to the camera, thereby reducing video feed latency and stability of camera stream networking.