Human Based Analytics
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Our AI-based video analytics programme can identify suspicious behaviour, differences in patterns, intrinsic objects, or activities in real-time, create warnings, and notify operators to take precautionary action. Our efficient monolithic unified design lets the video management system and AI-based video analytics share compute, data routing, and IT infrastructure resources, eliminating maintenance.
Object Detection
AI that is capable of robust object detection, functioning in a variety of outdoor and interior environments, and detecting up to 124 things, as well as tracking those objects in real time.
Whether it be a person, an animal, a vehicle, an item in the office, etc, this can be used to gather millions of pieces of information, all while the system continues to learn on its own via deep learning.
Virtual Perimeter Tripwire Detection
The engine can identify any unauthorised entry inside the defined region able to the edge-based computer vision algorithms it uses.
All varieties of virtual lines are supported. Lines may be drawn in a vertical, horizontal, or angled orientation, as well as many lines using various line combinations.
Vehicle/Person Loitering Detection
The software part of Secura Analytics monitors the area of interest based on the video feeds to see whether any people or vehicles are lingering there.
The system sends an alarm to the command centre if it detects suspect behaviour, such as probable loitering, and waits for a response or confirmation that the individual is suspicious and is lingering. If the command centre confirms this, the system flags the person in question as loitering.
The system can enable attribute-based monitoring of individuals who have been tagged as suspicious based on the location of the cameras.
A Person Falling Down/Collapsing Detection
The AI architecture can identify key locations on a person's body, and these points are then decoded to get crucial postures (right knee, left elbow, head, chest etc.). The programme identifies a collapse or any other event that has been pre-trained by benchmarking the pattern generated by the posture key points. After determining that a collapse has occurred, the system may notify the command centre so that appropriate actions may be taken.
People Counting Analytics
Automatic person counting based on AI technology.
This helps to improve overall visitor planning by providing data on the flow of visitors.
Knowing the entire number of occupants in a building in advance helps predict the most efficient approach to evacuate that building.
The cameras not only count individuals but can also detect the direction of movement to establish the path people take within the building premises. This makes it possible to obtain information about the routing, which is helpful.
Blackboard Monitoring
Automatically taking a picture of the blackboard in each classroom, the system then analyses the image based on the following criteria:
- The instructor in the classroom
- The topic that will be covered in school
- Along with the time and date
The photographs have been saved and can be viewed on a desktop computer or a mobile device.
If it is necessary to do so, the students and their parents can each receive a copy of these pictures.
Abandoned Object Detection
The engine uses computer vision techniques to recognise any object in the outlined view left behind by previous occupants.
Fire detection
The Secura AI engine calculates the fire and smoke patterns based on the object detection engine, and it is doubly validated using image processing thermal mapping and thresholding algorithms. These approaches combine object detection and automated thermal map measuring techniques.
The live notification of any fire that occurs on campus and is within the range of the cameras is shown on the dashboard along with the location and the time.
Stray Animals Detection
Robust object detection AI, functioning in a variety of outdoor and indoor contexts, identifies stray animals (which might pose a threat to the children), tracks their positions, and notifies the system of this information.
Crowd Analytics
The Crowd Neural Network works on large crowds to determine the amount of people present, their density, the direction they are moving in, and close people-behavior predictions.
Body Gesture Recognition with SOS Gesture
Our strategy for gesture identification is predicated on the discovery of novel patterns derived from "body parts," which are then capable of being taught and put into practice.
If any placed cameras pick up a special SOS signal, the system immediately notifies the appropriate authorities and sends a real-time alert.
Vandalism Detection
Using Deep learning techniques and pose estimation, the engine is able to detect vandalism.
Graffiti Detection
Using Deep learning techniques and pose estimation, the engine is able to detect Graffiti.
Teaching Session Video Archiving
The system continuously records the video of the class teacher explaining the concepts in each class based on:
- Teacher in class
- Subject taught in class
- Date and Time
- Topic taught (fetched from study calendar)
The videos are archived and can be viewed over the web or mobile platform.
These videos can be shared with students and parents if required.
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