Drishti's technology helps workers on assembly lines to avoid errors and work more productively. To this end, the company has developed 'Action Recognition' technology. At each station on the production line, Drishti streams video and then uses AI networks to translate the video streams into data. The action recognition technology provides immediate feedback to operators, preventing errors. The information is also used after the fact to help manufacturers improve productivity, quality, training and safety.

"Drishti has developed a path to successful robotics and automation that is suitable for any size business," said jury chair Andra Keay. "This brings significant benefits to both manufacturers and their employees. We are delighted to recognize this achievement with the IERA Award 2022."

Globally, 72% of manufacturing tasks are performed by humans. With Drishti's video analytics, manufacturers have been able to reduce error rates by up to 50% in just three months, improve throughput on already optimized lines by 15% and reduce the time it takes to train new line workers by up to 50%. "The breakthrough technology invented by Drishti uncovers new opportunities for improvement on assembly lines while supporting people on the factory floor," said Milton Guerry, past president of the IFR, at the IERA awards ceremony in Munich, Germany.

In addition to Drishti, there are three other finalists: Bosch Rexroth presented the 'Smart Flex Effector' - a module that enables large industrial robots to 'sense' their environment and produce more intelligently. The Berlin-based company Micropsi Industries took part with its 'Mirai' software, an AI-controlled control system that enables industrial robots to deal with fluctuations in production. Neura Robotics presented 'MAiRA' - a cognitive robot that can see, hear and speak, interact safely with human workers and learn from experience.

The IERA award highlights and recognizes the achievements of innovators with value-adding ideas and entrepreneurs who turn those ideas into world-class products. The IEEE Robotics and Automation Society (IEEE/RAS) and the IFR co-sponsor the award, underscoring their commitment to fostering greater collaboration between academia and industry in robotics.