About CRIM

Video and image analysis

Depending on your specific application needs, we can develop the required software tools that will aid you in analyzing your images. Generally speaking, these tools allow for automatically detecting relevant visual elements of an image or video such as faces, people, objects and places. It is also possible to follow their movements through a sequence of images and, in certain cases, to identify them. Whether the required task involves tracking the regression of a lesion under the effect of medication, performing facial recognition, analyzing the trajectory of a speed skater during training, detecting pedestrians and vehicles in a parking lot or delimiting the contours of lakes and rivers in images, we can automate the processes of detection, tracking and recognizing visual elements according to your specific needs.

Related Technologies: Software for detecting lesions associated with diabetic retinopathy through the fusion of optical and angiographic images, software for segmenting lesions from fluorescent imagery, software for manipulating digitized microfilms, software module for tracking the motion of hockey and football players, system for tracking and analyzing the trajectory lines of speed skaters.

Teams

Releases

Publications

Upcoming event

  • DevOps - En rappel à Québec - Événement Les Affaires
    26 February 2020 8:30
    Hôtel Le Concorde Québec
    Le CRIM fier partenaire de la 2e édition de la conférence DevOps - En rappel à Québec, organisée par les Événement Les Affaires, qui se tiendra les 26 et 27 février 2020 | Hôtel le Concorde, Québec
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  • Le 4 mars, participez au Webinaire sur le DATALAB pour découvrir comment cette approche progressive peut vous aider… https://t.co/zJmrfNB84I
  • CANARIE RT @CANARIE_Inc: VESTA recueille les données des systèmes d'apprentissage en ligne quand les élèves lisent l'écran, sont distraits ou pense…

Recent Publications

  • Validating BGP Update Using Blockchain-Based Infrastructure in Livre : Decentralised Internet of Things: A Blockchain Perspective

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  • Efficient Inference of Optimal Decision Trees

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