SentiVeillance SDK

Persons or vehicles recognition and tracking for video surveillance systems

SentiVeillance SDK is designed for developing software that performs biometric face identification, detects moving pedestrians or vehicles or other objects and performs automatic license plate recognition using live video streams from digital surveillance cameras.

The SDK is used for passive identification – when passers-by do not make any efforts to be recognized. List of possible uses includes law enforcement, security, attendance control, visitor counting, traffic monitoring and other commercial applications.

Available as a software development kit that allows solution development for Microsoft Windows and Linux platforms.

Download Brochure (PDF).

Download 30-day SDK Trial.

VH (Vehicle-Human) modality

The Vehicle-Human (VH) modality from the SentiVeillance component performs real-time vehicle or human detection, classification and movement tracking. SentiVeillance algorithms allows to perform these actions with the detected objects:

  • Object classification. SentiVeillance allows to perform object classification, locations and tracking based on its type. Besides general classification between pedestrians, cars, busses, bikes and trucks, SentiVeillance 8.0 SDK performs advanced vehicle type classification with over 20 classes available, ranging from common (sedan, SUV, bus, truck etc.) to country-specific or historic (tuk-tuk, carriage etc)
  • Color estimation. The algorithm returns most likely color estimation for cars and pedestrians. The estimated color values are: red, orange, yellow, green, blue, silver, white, black, brown, grey.
  • Vehicle make and model estimation. SentiVeillance 8.0 SDK includes a neural networks-based estimation of the tracked vehicle's make (brand) and model. Besides general usage, this data can be combined with the recognized license plate and checked against the data in the vehicles registry.
  • Clothing analysis. When a pedestrian is detected, their appearance can be evaluated for the presence of different clothes or headwear types. Over 20 clothes and headwear classes are recognized, ranging from common (shirts, trousers, skirts, coats etc.) to national (i.e. sari, niqab, kimono etc.). Also, this algorithm can estimate if the person is partially or totally naked.
  • Movement direction estimation. The algorithm estimates vehicle or pedestrian movement direction as angle relative to camera orientation.
  • Tolerance to object visibility. The detection algorithm works with partially visible objects and from great distance.

In addition, data about the detected objects can be used in combination with other SentiVeillance modalities:

  • Face modality can be used together with the VH modality to perform unknown persons' identification.
  • ALPR modality can be used together with the VH modality to perform vehicle identification by its license plate.

Programming samples from the SDK show how to use this modality.

A license for using the SentiVeillance VH modality on one video stream is included with SentiVeillance 8.0 SDK. Additional licenses or upgrade for the number of processed video streams in the existing licenses can be purchased any time by SentiVeillance 8.0 SDK customers.

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