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Inna Nomerovska

Inna Nomerovska

Inna Nomerovska is the VP of Marketing and Brand Strategy at Keymakr | Keylabs. She is a tireless technology enthusiast with 15 years of experience in international marketing and startup background.

Improving Retail AI Systems With Video Annotation

Improving Retail AI Systems With Video Annotation

Supermarkets are embracing computer vision as a way of reducing costs and improving the customer experience. AI powered cameras can prevent theft, analyse in-store traffic and even identify how customers are feeling. However, busy retail settings are dynamic environments full of complex movement and interactions. If AI models are to

5 Industry Use Cases for Rotating Bounding Boxes

5 Industry Use Cases for Rotating Bounding Boxes

Image and video annotation is the bedrock of the computer vision based AI models that are changing the world. By adding information to digital images and video frames annotation gives vital context to training datasets that AI models learn from. Bounding boxes are the most commonly used annotation technique. Annotators

Drones and AI can Help Food Producers

Drones and AI can Help Food Producers

Caring for plants and producing crops for food is a demanding task. Farmers have to deal with a host of issues from disease to bad weather and poor soils. These challenges will only become greater as the global climate changes. As a result the agriculture industry is turning to new

Helping Retailers with Facial Recognition AI

Helping Retailers with Facial Recognition AI

In the era of internet shopping brick and mortar stalls still have an appeal for many shoppers. Many consumers still enjoy browsing through physical products and comparing in-store deals to find the best bargains. Food sellers and clothing stores are the primary focus of in-store shopping and in-both sectors companies

Data Annotation and Smart Parking Monitoring

Data Annotation and Smart Parking Monitoring

Managing traffic and transit can be a challenge for city governments. As cities grow so does vehicle congestion. As thousands of vehicles move through urban areas each day they also cause secondary issues. Namely, parking and parking enforcement. To deal with these emerging difficulties city governments are turning to computer

Overcoming Supply Chain Issues with AI

Overcoming Supply Chain Issues with AI

The COVID-19 pandemic has led to a supply chain crisis that is ongoing. Fluctuations in demand, labour shortages and distribution delays have led to many products becoming harder to access for consumers. As a result many governments and companies are looking at ways to improve supply chain resilience and reliability

How Data Collection Supports Computer Vision Projects

How Data Collection Supports Computer Vision Projects

Data collection is a vital step in the machine learning for computer vision process. Before image and video annotation can take place, raw data needs to be assembled. This data needs to be of the quality, variety, and quantity required for functional training data. To achieve this developers often make