Consumer Privacy

Illustration of a file with an eye symbol and a shield featuring a padlock, representing data privacy and security.

BY INTENT

Vidar is akin to a metro turnstile, i.e., it is only able to count the entities passing through it and is unable to determine any differentiating characteristic for the entities of the same object class. It has been taught to know the difference between a pedestrian, a bike or a bus but it has not been taught to recognise who the pedestrian is or who is driving the respective bike or bus.

Illustration showing digital security concepts, including files with padlocks, binary code, and a shield with a checkmark, representing data protection and privacy.

PROTECTING CONSUMER PRIVACY

Protecting consumer privacy has been the cornerstone in the development of Vidar’s technology. Our software (and hardware) has been intentionally and meticulously designed to provide insights completely anonymously and without collecting any personal data.

Icon of an eye on a circuit board, symbolizing visual technology or vision technology

BY DESIGN

Vidar’s AI capabilities have been specifically trained and designed to work merely as an object identifier and counter. It does not detect or track faces or people. It does not profile people or their cars. It does not follow anyone. Images or videos are processed locally in real time on edge devices so that none of it ever required to be stored or transmitted.

PRIVACY FAQ

  • No. Vidar has only been trained to identify humans as a whole and it does not understand what a face is. To put it simply – if you were to place only a mannequin’s head in front of Vidar, it would not identify it as a person whereas a realistic full-sized mannequin (capable of moving like humans) may pass of as a person. While we may fine tune the AI model to do deeper classifications based on certain attributes such as determining the size of cars or height of humans, Vidar can never recognise an individual’s identity or associate specific attributes to them. Therefore, it can never produce any uniquely identifiable personal data.

  • Unlike location tracking devices or mobile phone applications, Vidar is completely unaware of individual’s locational data and individual travel habits (i.e., it does not gather data regarding where an individual goes, where they come from, frequency of visits). Vidar cannot recognise if the same person was at various different locations or if they visited the same location multiple times.

  • No. Vidar does not record or store any video data. All processing is done locally on the edge device in real time and the video metadata is purged instantly. Moreover, since no human interface is required for counting, no video feed even exists at any point in time throughout the process of detection and counting. To explain with a analogy – imagine you call your friend and ask them to count the number of objects in front of them and to tell you only the number. You are not shown a video feed and you cannot see what your friend has seen but you get the numerical value of the objects in front of them (assuming your friend counts accurately). Vidar is like our friend in this case.

  • No. Vidar does not generate or store any personal data whatsoever. It is only able to collate generic numerical data points in terms of the number of different classes of objects which pass in front of it.

  • The anonymous data generated by Vidar is stored on secured databases which are certified for the following security and data privacy compliances:

    1. ISO/IEC 27001

    2. ISO/IEC 27701

    3. ISO/IEC 27017

    4. ISO/IEC 27018

    5. ISO 9001:2015

    6. ISO/IEC 20000-1:2018

    7. GDPR

    8. CCPA