Solita: Crowd control


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09:00u. - 09.15u.
09:15u. - 09.30u.
10:00u. - 10.15u.

10.30u. - 10.45u.
11.00u. - 11.15u.
13.00u. - 13.15u.
13.30u. - 13.45u.
14.00u. - 14.15u.
14.30u. - 14.45u.
14.45u. - 15.00u.
17.00u. - 17.15u.
17.30u. - 17.45u.
19.00u. - 19.15u.
19.30u - 19.45u.

Geef het gewenste tijdslot door, we sturen je de teams link door (1 student per slot)

Korte samenvatting van de stageopdracht:  
Monitoring a crowd during a large event is never easy. Operators need to constantly monitor different camera feeds, Will the operator is focusing on one feed, it’s easy to miss an incident somewhere else. We want to help out by combining AI and ML to monitor in near real-time all feeds to determine crowd movement, density and predict explosive situations. It allows to guide the correct people/teams so the crowd can enjoy the event without any major distractions. By using audio and visual indicators the operator will be notified of a situation.

The main challenges in the crowd counting task are the many variations of appearance, perspective, illumination, crowd density and distribution. In terms of performance (speed and accuracy) traditional AI solutions for detecting objects in images suffer a lot when it comes to the detection of too many objects per image. To approach the problem of varying crowd densities and distributions and the high number of objects per image, a density-based approach is considered. In effect, the prediction target of the AI is the density of people on a per-pixel basis. Training the AI is part of the task.

Korte samenvatting van de onderzoeksopdracht:  
Crowd management automated: what is crowd management and crowd control? What framework, technology stack, principles to use?

Deze stageopdracht is geschikt voor studenten uit de richting:

Bachelor Toegepaste Informatica - Applicatie-ontwikkeling (Keuzetraject AI & Robotics)


Research different AI and ML platforms, keeping scalability and high level in mind

Get to know the basic concepts of crowd management

Learn about predictive analytics, AI and ML technics

Integrate different platforms to create value-added solutions
Become an (API) expert 


Improve your own and Solita’s knowledge

Explore the AI and ML landscape

Design your own solution architecture with the help of your colleagues
Present your solution to our Belgium colleagues

Must Have

Result oriented and creative 

Good analytical and problem solving skills 

Eager to learn, grow and take leadership 

              Wat is geweldig aan de baan?

              nice and cozy office (Nordic style)
              unique work environment
              open communication    
              the freedom you get to do the job
              no 9 to 5 mindset
              friendly atmosphere among colleagues  

              Inleidende activiteiten/verwachtingen
               Vergoeding/tegemoetkoming in verplaatsingskosten


              Locatie stage

              Philipssite 5B Leuven  


              Jeroen Wanten  

              Solita: Crowd Counting.pdf