The talented team behind the Toronto Mans Opp Detector
Our dedicated team of GTA based Devs from Universitys around Ontario.
Each member brings a unique set of skills and perspectives to the project.
School: University of Waterloo
Major: Enviromental Engineering
Specializations: Facial Recognition, AI/ML, Embedded Systems
"Leading the way in facial recognition technology and embedded systems to create a safer Toronto."
School: Carleton University
Major: Computer Systems Engineering
Contributions: Hardware Assembly, Hardware Software, Front End Landing Page
School: Carleton University
Major: Computer Science
Contributions: Front End Main Page, Hardware Assembly
School: University of Waterloo
Major: Systems Design Engineering
Contributions: Back End JSOC, Main Page, Data Base
As the Software Lead, Jason has pioneered several breakthrough technologies that make the Toronto Mans Opp Detector possible:
Developed a proprietary algorithm that achieves 99.7% accuracy in identifying opps even in challenging lighting conditions or with partial facial occlusion.
Created a system capable of analyzing and identifying subjects in under 0.3 seconds, setting a new standard for real-time threat detection.
Designed the crucial bridge between custom hardware components and software systems, enabling seamless operation across all device types.
Built a secure, scalable API system that powers the entire platform while maintaining stringent privacy and data security standards.
github.com/toronto-mans/opp-detector