Michael Abramov

The ability to keep drivers safe is one of the key advantages of computer vision. Autonomous vehicles should be far safer for drivers and other road users in the near future. In the present in-cabin driving aides can help drivers stay alert on busy highways. Driver protection is the goal

Most businesses know that they need to invest in AI in order to stay competitive. However, it can be a challenge to go from investing in a team of data scientists to bringing actual products to market. In a tight, unpredictable market data scientists sometimes need a helping hand to

AI powered robotic devices could revolutionize manufacturing by increasing efficiency, reducing costly errors, and keeping humans safe. Once slow to adapt to digital innovations, the manufacturing sector is now embracing the potential of computer vision based AI models. Machine learning enables AI systems to adapt to the, at times, chaotic

City authorities have a responsibility to keep the spaces they manage safe. However, as cities grow larger and more complex this challenge becomes more daunting. More monitoring is necessary if cities are hoping to respond to and prevent accidents and injuries on their property. This is why many planners are

Autonomous vehicle technology promises to make our roads safer, whilst increasing the efficiency of transport and delivery services. Safety and reliability are the key factors necessary for the widespread adoption of self-driving vehicles. The algorithms powering cars, trucks, and buses on our roads are required to function perfectly in all

Computer vision based AI projects are heavily reliant on high quality image and video data. In order to train the next generation of AI models accurately annotated image  and video datasets must be assembled at the scales that developers require. But before the annotation process can begin companies need to