VisionBox Inc aims to make farming amiable by providing farmers with easy-to-use technologies to focus on agriculture without worrying about threats from disease or bugs in the farm. We are making an AI application for the farmer to detect all the threats in a traditional farm or greenhouse. VISIONARY FARM is a platform showing a […]

This project’s objective is to show the utility of data from passenger cars in developing semi and fully automated driving. The challenge at hand is designing and developing artificial intelligence that can accurately and efficiently filter the most critical driving scenarios detected in a fleet.

Seleste needs to develop an app to integrate with our hardware. For this project we need interns to help us develop this app which includes two major components. First is the React Native app where interns will develop our partner integrations. This includes companies like Be My Eyes and Aira which provide services that we […]

In this project, we investigate deep-learning-based artificial intelligence technologies for automated in-process part inspection for advanced manufacturing. We will experiment with state-of-the-art computer vision and machine learning technologies, applied to a camera capture of a manufactured product part while the part is being made. In this way, product defects can be detected early, saving time […]

The adoption of innovative technologies is crucial in today’s business environment – driven by the ongoing pressure to acquire more customers by launching new services in a faster and more convenient way. But adopting new technologies always brings with it a slew of security challenges, making it harder to maintain a secure working environment that […]

Inappropriate food autonomy poses serious threats to the sustainable development of Canada and the global society in general. This issue is further exacerbated by the four-season climate of Quebec that prevents year-round open-air farming. To cope with this challenge, Controlled Environment Agriculture (CEA) uses managed artificial environmental conditions to produce vegetables and fruit in a […]

L’infonuagique, et précisément la nouvelle génération de centre de données requièrent une nouvelle infrastructure réseau basée sur la virtualisation. Un des principaux services de l’infonuagique est le Service dit IaaS (Infrastructure as a service) nécessitant le déploiement de centre de données virtuelles offrant la possibilité d’être administrés des entités différentes (Multi-tenants). Les solutions actuelles de […]

La détection des défauts sur des images de thermographie infrarouge est considérée une tâche difficile et coûteuse en raison de la mauvaise qualité des images, du temps consacré à la présélection et prétraitement des images, la disponibilité d’experts et les faibles performances des méthodes semi-automatiques. Torngats, entreprise québécoise spécialisée dans les essais et évaluations non […]

Founded in 2011, StreamScan is an organization specialized in computer security operational. The company is composed of several experts in the fields of management security incidents, intrusion detection, security audit, penetration testing, security governance, security breach detection and of artificial intelligence applied to cybersecurity. StreamScan’s expertise is used by many cyber-victimized organizations attacks. Its incident […]

Le projet se sépare en deux grandes catégories soit en premier lieu l’analyse, la recommandation & l’amélioration d’un système de suggestions intelligentes et en deuxième lieu l’analyse, la recommandation & l’implémentation des outils de cybersécurité permettant la certification cybersécuritaire Canada.

Today, there is an abundance of social media and user engagement platforms. However, they are disorganized and unverified which creates unreliable engagement data. To explore new methods of creating an engagement platform, Veras Technologies Inc. will work with intern Md Hasan Tareque to research and develop a verified and secure engagement platform that leverages blockchain […]

As the underlying networks transition into 5G and 6G infrastructure, the optimal task performance across different WIoT devices with different energy consumption and computing power require coordination at both the software and hardware levels to maximize accessibility and minimize latency to support emerging applications. The proposed research will explore the various parameter space to determine […]