Michael Abramov

Securing public spaces is of vital importance for businesses and governments. Functioning security systems reassure customers, streamline public services, and ultimately protect both profits and people. However, guaranteeing that spaces remain crime and danger free means committing significant resources to surveillance and security staff. Monitoring security cameras requires patience, and

Search and rescue in a marine environment is a demanding, year round responsibility. On an average day the Canadian Coast Guard responds to 9 search and rescue incidents, assists 68 people and saves 18 lives. The ocean is a dynamic and unpredictable space to operate in for both machines and

Data creation defined Finding the right image and/or video data for computer vision based machine learning projects can be challenging. The vast majority of data for AI training is collected from open sources such Imagenet and Google Open Images. Datasets assembled from online repositories are then annotated using annotation

Creating and annotating the quantities of image and video data required for computer vision based AI projects to succeed is a significant challenge. Coordinating large volumes of time consuming, accuracy dependent work across a large, distributed workforce necessitates conscientious management. This burden of management can distract from the core mission

In the never ending search for growth and efficiency savings the oil and gas industry is turning to computer vision based AI models. Machine learning technologies can help to stabilise profits in an unpredictable world and changing market. The digitization of the industry also promises to improve worker safety and

Skin conditions are one of the most common ailments that patients present primary care physicians with. They present a challenge because there are hundreds of potential diagnoses for very similar looking conditions. Access to specialist dermatologists is often limited meaning that doctors and nurses may not have all of the