Surveillance and Security Video Analytics

Our Video Analytics solution is a suite of solutions that make use of AI and Machine Learning to automatically monitor, Supervise, Analyze situations and detect, identify, classify and manage objects. Our solution is hardware and camera manufacturer independent; it can run multiple analytics on one single camera and can be instegrated with and existing camera infrastructure. The solution handles live videos as well as recorded videos. Often no hardware upgrade is necessary making the solution cost effective.

Videolytical's Video Analytics solutions are designed for scale, accuracy and impact. Easily integrated with most legacy security solutions, It elevates your safety and security efforts with AI-driven intuitive software.

• Supports almost all major brands and ONVIF compliant IP cameras & Video Servers
• Uses artificial intelligence and deep learning algorithums to analyse videos in real-time
• Provide Reatime Alerts and Alarms to all users in case of any breech on security and surviellance.
• Provides role based user management, making it easier for the adminstrator
• Easy to use Input and Output control panel to trigger digital outputs and Monitor input status

Type of Analytics

Intrusion Detection

Detection of a person or vehicle entering or exiting virtual area drawn by the user.

Line Crossing

Detection of a person or vehicle crossing (or touching) a virtual line drawn in the camera field of view. The line crossing event can be detected for both directions.

Camera Tampering

Detection of camera tampering efforts by camera focus change or view obstruction or video cable cut.

Motion Detection

Videolytical Motion Detection is an intelligent video analytics module for real-time alerting in case of moving objects within predefined areas. It recognises the object size, determines the object movement and differentiates the perspectives.

Conditional Intrusion

Detection of a person or vehicle entering virtual area from particular direction/area drawn by the user.

Loittering Detection

Detection of a person’s or vehicle’s persistence beyond a specified time (set by the user) in a monitored virtual area in the camera field of view.

Crowd Monitoring

Analyses crowd movement patterns in different direction and marks it by different colours, and detects and movement of crowd in undesired direction.

People Counting

Measures the crowd level in terms of number of people occupying a specified region of interest in the camera field of view, provides live crowd count on screen

Abandoned/Left Object Detection

Detection of any object left behind in the monitored zone by a moving agent such as the owner of the object or baggage.

Object Lost/Theft/Missing Detection

Detection of object(s) removed from the monitored zone in the camera view.

Automatic PTZ Tracking

Automatically Move and Zoom PTZ Camera if any person or Vehicle Enters into camera frame

Face Recognition

Matches the Face detected in the camera view with the registered faces in the database and sends alarms corresponding to match or mismatch.

Face Detection

Detects and tracks the human face in the camera view, and also captures the face image and stores it in the database for future reference

Fire Detection

Detects presence of fire in the camera view / monitored zone even when it is formed in 10-15% of the view.

Smoke Detection

Detects presence of smoke for both indoor & outdoor environments within only 5-10 seconds when it appears in the camera view and covers more than 10-15% of area.

No Mask Detection

Detects and Alerts if any person is not wearing face mask

Fire Arms and Ammunitions Detection

Detects and alerts if anybody enters with fire arm or knife in camera frame.

Human Fall, Slip Detection

Detection of person slipping and falling on ground.

Object Classification

Detects and same in database all objects present in the frame like, humans, vehicles, furniture, animals, laptop etc

Vehicle Counting

Count number of vehicles moving in from of the camera