CGI's Machine Vision solution delivers a powerful source of IoT business intelligence

CGI announces the launch of new computer vision solution, CGI Machine Vision, which uses the power of artificial intelligence (AI) to transform asset and infrastructure monitoring. The solution enables organizations across industries to improve processes, increase efficiencies and reduce costs by generating business intelligence not previously possible through traditional monitoring solutions or human-only inspection.

CGI Machine Vision, developed by CGI AI experts in Australia, uses deep neural network AI and edge-computing technologies to extract data from Internet of Things (IoT) sensors. Data captured by cameras, drones, and other IoT devices is processed by AI at the site of its collection and only relevant data is pushed to data operations. Edge-computing eliminates transmission delays and bandwidth concerns. With this real-time and relevant data, organizations benefit from deeper levels of data analysis, enabling the adoption of predictive and proactive operational models.

With CGI Machine Vision, industries such as utilities, transportation, and telecommunications can continuously monitor remote infrastructure, identifying foliage incursion, deterioration through wear and tear, and other issues more effectively. Further, enabling computer vision on moving platforms, such as trains and trucks, improves citizen safety. In addition, CGI Machine Vision increases worker safety by monitoring safety compliance and threats.

The Australian launch of CGI Machine Vision follows several successful pilots, including in the United Kingdom where it has been used by water treatment operators to enhance existing alert systems and provide real-time monitoring of remote and unattended sites.

CGI Machine Vision can be deployed on a range of vision capture devices and other sensors, and its AI-processed output can be tailored to integrate with a variety of client applications. The flexibility of the solution addresses a broad range of computer vision-oriented business challenges.