Michael Abramov

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

Computer vision is creating revolutionary smartphone applications. Computer vision based AI models are able to understand digital images and video and recognise real objects in the world around them. As a result they can help smartphone users to take pictures, find things, see the world in a new way, and

The potential of autonomous vehicles is huge. By supporting or replacing human drivers AI models can make roads safer and increase the efficiency of transport and delivery for us all. However, there still remain significant barriers to the widespread use of this technology. Autonomous vehicles will not be adopted until