Advanced Creative Technology | Person Search
 

Person Search

Person Search

Proprietary AI-powered technology to help you find a particular person in real-time across all the cameras connected to your surveillance network

How It Works

Photos of the person of interest are uploaded to the system. These photos can be also taken from real-time video feeds or video footage recordings. An optimal number of photos taken from different angles is 4+.

When initiated, ACT Person Search System starts to look for people whose appearance is similar to the one provided. As soon as a suspected similar individual is found on any attached video feed, the system alerts the user.

The user can confirm the match or reject in cases of false guesses. In the second case the mistake is fed back to the system which allows to narrow down the search and increase the accuracy of further suggestions.

How It Works

Photos of the person of interest are uploaded to the system. These photos can be also taken from real-time video feeds or video footage recordings. An optimal number of photos taken from different angles is 4+.

When initiated, Scylla Person Search System starts to look for people whose appearance is similar to the one provided. As soon as a suspected similar individual is found on any attached video feed, the system alerts the user.

The user can confirm the match or reject in cases of false guesses. In the second case the mistake is fed back to the system which allows to narrow down the search and increase the accuracy of further suggestions.

Use Cases

Scylla Person Search system is a powerful technology that has a wide range of use cases to effectively augment your security infrastructure and reduce response time for

Missing child detection

Tracking a person of interest (an intruder, active shooter, BOLO, etc.)

Emergency contact tracing

Use Cases

Person Search system is a powerful technology that has a wide range of use cases to effectively augment your security infrastructure and reduce response time for

Missing child detection

Tracking a person of interest (an intruder, active shooter, BOLO, etc.)

Emergency contact tracing

FAQ

What is needed to initiate the Person Search?

Photos of the person are required to launch the AI-powered Person Search System. The more diverse, the better. On average we’ll need 4+ photos where the person is visible from different angles. The photos can be uploaded to the system from phones or other sources (as long as the person of interest is currently wearing the same clothes and accessories). Alternatively, the photos can be taken from live streams of any camera that is in the system, or forensically from recordings.

Do you need a person’s face in the photos?

No, the system takes into account the overall appearance of the person of interest.

Can height or weight be taken into account too?

Person Search technology looks for the person of interest in all cameras all over the field of view. As such, the same person can appear of different height and/or proportion when shots are taken from different distances and angles. Thus the height cannot be taken into account. Same applies to the weight and/or shape of the person.

Can Person Search be supplemented with Face Recognition System?

Yes, absolutely. The Face Recognition technology can be implemented to aid the Person Search System and to cover the cases where the first one is more effective. For more details please refer to the relevant question below.

What are the advantages and disadvantages of utilizing a Person Search System compared to Face Recognition Technology?

Pros:

  • The obvious advantage is the ability to search for the person not based on facial biometrics. This means that the Person Search System will detect the person of interest where the person is not facing the camera, the face is under a mask or hidden under a hoodie, etc. Moreover, as an input Person Search System can take low quality photos of the person of interest where the face is not visible at all.
  • Person Search System can be implemented on most of the cameras with versatile placement location and view angle. Opposed to that, face recognition based search can operate only on cameras that are placed in a certain location and angle – to ensure people pass in front of the camera looking at it.

 

Cons:

  • Since the Person Search System looks for the person of interest based on similarity of appearance, there might be more false guesses compared to the more “choosy” face recognition based search. In other words, there might be quite a few people in the view of the camera that wear very similar clothes. The verification feedback of the operating user should help to minimize errors during the search.
  • The search depends on the appearance (i.e. clothing). Thus it cannot be implemented in cases where the clothing was changed. For example, it cannot be used to search for the same person on different days. Similarly, it cannot be used in cases where the input photos were taken outdoors (i.e. with a coat on) and the search is engaged indoors (i.e. the coat is off).
  • While the Person Search System can search for multiple people simultaneously, the total number is limited by the hardware capabilities that run the software. The optimal maximum number of people that can be simultaneously searched for is 10.
Can the Person Search system look for multiple individuals simultaneously?

Yes, the system can search for several people on all the cameras simultaneously. The search instances can be initiated and halted independently. The maximum number of people simultaneously sought for is limited by the hardware that runs the software. Typical optimal maximum is 10 people of interest.

What happens when a false suggestion is sent to the user? Is there a refinement mechanism?

There is. When Person Search System finds a person similar to the one requested it sends suggestions to the dashboard for the user to review and confirm. In case the user rejects the suggestion this information is sent back to the search engine as an “anti-input” that narrows down the search criteria and helps to eliminate similar mistakes henceforward. Similarly, if the user confirms the guess, this information is added to the system to aid the search in real-time.

What are the camera requirements?

Person Search System can operate on HD cameras. However, especially for the cases where people are captured at a distance, Person Search technology will perform better if the cameras are Full HD or higher.

What is the maximum distance Person Search System effectively operates at?

The maximum distance at which Person Search System will reliably operate depends on a number of camera parameters such as resolution and view angle. These will define the size of the people in pixels and affect the performance of the system. Naturally, the more pixels per person height there are, the more details reach the system and the more accurate the matching guesses will be. The minimum recommended height of people in pixels is ~120. This typically corresponds to 25 meters for Full HD cameras and 16 meters for Full HD.

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