Projects

This article introduces a computer vision–based bat monitoring solution developed by Saiwa in collaboration with Sam Watson Ecology. The system analyzes images and videos captured from residential and building environments to detect bats and their nests. The goal is to deliver one of the first commercial ecological monitoring solutions that is accurate, cost-effective, and easy to deploy for environmental agencies, researchers, and industry partners.

Saiwa Inc. built and delivered an AI-driven scholarship matching system for SAIGE, helping Indigenous students across Canada find and apply for scholarships tailored to their identity, education, and region. The platform automates bursary collection from government databases, uses AI for matching and ranking, and supports pre-filled applications with admin validation — significantly improving accessibility, accuracy, and efficiency.

The project introduces a groundbreaking solution to combat Fusarium dry rot, a major issue for potato producers in Alberta, causing millions in annual losses. The solution combines two advanced technologies: eDNA monitoring to track Fusarium spore populations and AI-powered wounding detection to identify mechanical damage during harvest. With industry partnerships, the project aims to develop species-specific Fusarium detection kits, integrate real-time monitoring, and reduce storage waste. By providing predictive insights, the project seeks to improve storage yield retention and offer proactive disease management tools to producers.

Saiwa Inc., in collaboration with Mohawk College, built the Follomotion back-end services—a suite enabling real-time motion capture, camera calibration, and pose estimation. Delivered within one month and supported for six months, the project provided scalable, API-first infrastructure that enhanced precision, adaptability, and reliability. The solution empowers industries such as sports, fitness, healthcare, and rehabilitation with cutting-edge motion tracking technology.