Eocortex 3.4

1. Eocortex 3.4 main features:

a. Object Search Functionality:
Enables searching for objects based on their type, including people, movement, vehicles, and other categories. Users can refine searches by color of clothes, samples from a video archive, or an image file.

b. Enhanced Face Recognition:
Face recognition is more precise and accurate. Neural networks are trained to recognize faces in medical masks and when faces are turned away from the camera.

c. Electronic Signature for Videos and Screenshots:
Certifies the authenticity of exported files, indicating and confirming authorship. Complies with data security requirements.

d. Archive on Alarm Monitor:
The image on the alarm monitor opens with a rewind for several seconds, allowing users to investigate the cause of alarms and see events preceding the triggered alarm.

e. System Optimization and Additional Functionality:
Various improvements, including limitation of client connections for internet traffic optimization, ONVIF support for sending and receiving H.265 video streams, the ability to create face and license plate databases for different cameras, new grids, a REST API action for push notifications to mobile devices, reencoding video streams for mobile applications, and an upgraded Sabotage Detection module with individual detector settings.

2. Eocortex 3.4 Highligh:

a. Eocortex system's neural networks have been specifically trained to recognize faces in challenging scenarios, such as when individuals are wearing medical masks or when their faces are turned away from the camera. This advancement in face recognition technology ensures a more precise and accurate identification process, which is particularly valuable for security and surveillance applications where capturing facial details under varying conditions is crucial.