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.
Example: Intruder detection on fenced areas, alert monitoring at the entrance, detection of illegal crossing of railway lines or getting closer to a restricted zone.
Detection of a person or vehicle entering or exiting virtual area drawn by the user.
Example: Intruder detection in restricted areas. Illegal entry into secured zones in Banks, Stores, Plants. Entry of person or vehicle into restricted area or exit from that.
Detection of camera tampering efforts by camera focus change or view obstruction or video cable cut.
Example: Sabotage attempts by vandals (initiated with camera tampering) are detected and alerted and security personnel can take necessary actions.
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.
Example: People loitering in malls even after closing hours; people or vehicle having longer dwell time in restricted area; people persistence near critical assets.
Detecting a person (individual) or vehicle following too closely the person or vehicle in front to get past access controlled entrances or barriers (like boom barriers).
Example: Unauthorized access at the mall entrance, gated communities, office premises, factories.
Detection of any object left behind in the monitored zone by a moving agent such as the owner of the object or baggage.
Example: Threat detection due to baggage left unattended in public places like malls, roads, railway station, airports etc. Unmindful passenger leaving any luggage.
Detection of object(s) removed from the monitored zone in the camera view.
Example: Detection of removal or theft of precious items like paintings hanging on a wall. Critical Asset protection. Artefacts protection in museums, etc.
Automatic tracking of object (Single or Multiple) using Pan-Tilt-Zoom (PTZ) camera.
Example: Continuous tracking of objects like intruder; Continuous tracking of vessels in Sea.
Automatic one step PTZ operation to capture closer video of an agent on any pre-set rule violation such as crossing a virtual line, or entering a virtual area etc.
Example: Detection of violation with closer view capture of violator for evidence as well as monitoring purpose.
Violation detected on any Fixed camera triggers PTZ camera to its view for auto tracking of the violator object.
Example: Auto tracking of intruder with one PTZ camera covering multiple Fixed cameras, for instance, along the compound perimeter.
Different PTZ pre-set positions can be assigned to different regions and analytics can be run to monitor each of those pre-set positions.
Example: Analytics can be applied for monitoring various regions of interest in a wider zone within the range of a PTZ camera.
Detects crowd in the camera field of view / region of interest, and when the crowd formation goes beyond a specified threshold (crowd count / percentage of area) alerts against the over-crowing scenario.
Example: Detecting illegal gathering of masses, or getting alert for overcrowding scenario in public places (malls/railway stations/airports) and entry/exit/lobby areas.
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
Example: In festivals & public places crowd counting is used for crowd management and for taking corrective action against crowd surge or overcrowding
Analyses crowd movement patterns in different direction and marks it by different colours, and detects and movement of crowd in undesired direction.
Example: Crowd movement tracking and crowd counter flow detection can help in avoiding mishaps due to crowd movement in wrong directions.
Detects and alerts rapidly (in 5-10 seconds) against presence of fire in the camera view / monitored zone even when it is formed in 10-15% of the view.
Example: Rapid detection of fire as an early warning for avoiding huge loss & greater impact due to fire hazards in Oil & Gas plants, critical infrastructure etc.
Detection of person slipping and falling on ground.
Example: Used towards human safety, as necessary care could be taken promptly against alarm generated for slip & fall of people in Malls, Airports, Metro etc.
Detection of unusual gestures of persons by raising weapons (lathi/stick, rifle etc.) with intention to charge on others.
Example: Used especially in riots or similar scenario where miscreants might attempt attacking others with raised weapons for detection and prevention of such action.
Detects objects and classifies them as people or vehicle.
Example: Used for intelligent monitoring where other video analytics alerts are required only for certain type of moving object (either person or vehicle)
Ensures privacy by masking the faces of people in video stream from cameras at public places. While recording stream stores the unmasked video, the masked video is used for display or monitoring purpose.
Example: The masked video ensures privacy requirement for people in surveillance zones while not compromising the raw video footage stored for evidence purpose.
Detects and tracks a specified person appearing with similar profile on multiple cameras in a network of cameras based on the object properties. It also shows a connection between the camera locations in a map.
Example: Used for enhanced monitoring by tracking movement through different physical locations connected by cameras.
Counts the number of people traversing a certain passage. While angular camera can also be used, best results are achieved with head detection in overhead camera at entry / exit. Counts are provided in both directions (coming in/going out)
Example: People counting to analyse foot fall statistics in malls, retail stores etc. Conversion factor can be calculated by comparing footfall data with sales figures.
AllGoVision provides extensive reporting and analysis options. Reports are generated in multiple formats (PDF, CSV, TXT, JPEG) with tables and plots. Reports can be scheduled for auto-emailer or FTP upload. Alarm Analysis and Comparison reports are also supported.
Example: Used in business decision making and time series analysis.
Detects queue properties for waiting time analysis (Ingress – in flow, Egress – out flow,
Example: Used in service counters, ticket counters / travel desk, check in counters, flight boarding areas for waiting time analysis and improvement of service process.
Counting of vehicles that cross a virtual line in a vehicle lane or entry / exit gates.
Example: Vehicle movement statistics for traffic study, traffic density calculation etc.; multi-lane vehicle counting; vehicle queue length and waiting time analysis at toll plaza etc.
Detects vehicle movement in a direction opposite to user specified direction.
Example: Vehicle moving in wrong direction in one way road system; vehicles exiting / entering wrongly through entry only / exit only areas.
Detects parking or stopping by any vehicle in a specified virtual area (no parking zone or restricted zone) beyond a specified period.
Example: Illegal parking on road sides, in no parking areas or restricted zones, Illegal parking of the vehicle in front of the entry/exit gates.
Detects speeding of any vehicle above specified speed limit observed in camera installed parallel to the road.
Example: Over speeding vehicles on highways, city roads and campus pathways.
Detects the percentage of area occupied by vehicles and alerts against vehicle congestion as the vehicles occupy area beyond a threshold value.
Example: Detects traffic jams and traffic slowness in zones which have moving traffic otherwise.
Provides the parking occupancy level and free parking slot availability by detecting vehicle entry and exit by monitoring these transition points in parking lot areas.
Example: Parking management with live parking availability status display at parking lots of malls, offices, factories, residential building complexes, airports etc.
Detects the presence of vehicle license plate (or number plate) and captures the image of the license plate along with the vehicle.
Example: Records keeping of vehicles entering or exiting a specific zone. Used for evidence and monitoring purpose.
Extracts / recognizes the license number (registration number) from detected vehicle plates and can verify against a user defined black / white list.
Example: Used for traffic monitoring & law enforcement (detection of traffic rule violation and identification of the associated vehicle, detection of stolen cars etc.); vehicle access control & task automation; automated parking & toll management.
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.
Example: Initiation of alarm or systems (to be integrated) which need activation on appearance of any person. Detected and captured faces are used for evidence / monitoring purpose.
Matches the Face detected in the camera view with the registered faces in the database and sends alarms corresponding to match or mismatch.
Example: Face recognition & verification is used in multiple applications such as VIP identification, Black List alarm, Forensic Face Search, People Authentication, Attendance Recording & Reporting, and can be integrated with Access Control.
Counts the number of faces in the camera view at an instant and over any specified time period.
Example: Viewership / Audience Measurement for digital signage, advertisements / bill boards. Visitor statistics based on number of detected human faces.
Face Presence detects for how much time the detected faces persisted in the camera view and provides plot of time distribution for detected faces.
Example: Used in customer / viewer engagement analysis showing the engagement time analysis.
Face Frequency detects how frequently any recognized face appeared in the camera and provides the plot of frequency distribution for recognized persons.
Example: Customer Retention information by analysing the frequency of visit by VIP Guests / Loyalty Customers etc.
Demographic Analysis feature that detects the approximate age against human face appearing in the camera field of view.
Example: Customer profiling (may be used at retail product sections) or Viewership profiling (for digital signage, advertisements etc.) based on different age groups.
Demographic Analysis feature that detects the gender for human face appearing in the camera field of view.
Example: Customer profiling (may be used at retail product sections) or Viewership profiling (for digital signage, advertisements etc.) based on gender of the agents.
Object movement density represented with color gradient over the monitored area or specified region of interest based on specified time duration.
Example: Used in finding customer movement hotspots for product placement. Used in layout optimization in operations management.
People movement trend map (percentage share for various movement paths) in the monitored zone based on inputs gathered in specified time period.
Example: Used in finding customer movement pattern and identifying most popular movement directions, most visited product sections etc. For finding out movement bottlenecks and layout enhancement, if required.
Analyses each frame of the video for object metadata like appearance time, object type, properties such as color, size, speed etc, stored the metadata and provides search capabilities based on filter for these properties.
Example: Used for search and display of video based on object properties. Forensic Analysis & Search.
Detects the Violation of Red Light by a Vehicle and gives an alarm. Can also be integrated with LPR to get the License plate details of the vehicle.
Example: At traffic junctions, Red Light Violations can be detected and the license plate of the violating vehicle can be recognised.