Detailed description of project

The DEVIATE project is centered on transforming retail intelligence through the integration of AI-powered video analytics for real-time consumer behavior assessment. By combining deep learning, computer vision, and demographic modeling, the platform processes image and video data to extract actionable insights about consumer profiles and their interaction with products on retail shelves. Utilizing RGB cameras and advanced neural networks—including convolutional and LSTM architectures—DEVIATE enables automated detection of customer presence, movement patterns, gender, and age estimation within store environments. These insights are used to support sales strategy optimization, store layout design, and product placement.

What sets DEVIATE apart is its use of scalable AI modules that operate in real-time and are trained on extensive in-store video datasets. The system’s modular architecture allows seamless integration with existing retail infrastructures, offering commercial stakeholders a powerful tool to monitor customer engagement, understand preference trends, and make data-driven decisions at scale. The platform not only enhances business performance but also supports ethical and privacy-conscious analytics, contributing to the evolution of intelligent and adaptive retail environments.

Type and scope of work provided

• Development of a deep learning-powered system for in-store consumer analytics.

• Design of AI models for real-time detection of human presence, age, and gender.

• Integration of computer vision with store video infrastructure and RGB camera feeds.

• Implementation of behavior-tracking algorithms to map consumer interaction with shelves.

• Deployment of a scalable analytics platform supporting decision-making in retail environments.

DEVIATE enables data-driven transformation in the retail sector by offering intelligent tools for demographic profiling, behavioral pattern recognition, and real-time shelf engagement analysis. The platform empowers commercial businesses with predictive insights to enhance operational planning, product placement, and personalized marketing strategies.