Inna Nomerovska

The construction sector has always been vulnerable to global economic changes. It experiences rapid growth and stagnant periods. It is also an industry that has been slow to embrace digitisation and new technology. However, computer vision models are helping to change this whilst ensuring that construction companies remain profitable regardless

Businesses and governments are using computer vision to make waste management safer and more efficient. AI models can sort waste quickly, handle hazardous waste, sort waste based on markings and even identify waste items from the air. However, these important use cases can be subject to bias. Training data that

Computer vision models are being used to streamline processes in rapidly changing industries. For example, the demands of COVID-19 have led to computer vision being used by airports and security services. And our changing economy is leading to computer vision innovation in other surprising ways. Collectibles, such as sports memorabilia,

Effective security systems make people feel safer. As a result businesses and public sector organisations are constantly looking to improve the security of their spaces. However, investing in security staff can be expensive, and proper security training can be a lengthy process. In addition it can be difficult for even

AI is making processes easier in a wide variety of industries. In the manufacturing sector smart AI systems can make production lines more efficient and safer. Similarly, in the waste management industry computer vision based AI models can sort waste autonomously. In addition to these highly visible advances AI has

Quality image and video data is at the heart of any successful computer vision based AI project. Precisely annotated training datasets invariably lead to models which are capable of high-level performance in a chaotic and changing world. The inverse is also true, datasets strewn with errors and inaccuracies can lead