Intelligence That Transforms Retail

AI-enabled Point of Sales

Computer vision monitors self-checkout to reduce loss prevention in scenarios such as label switching. Object detection networks ensure that scanned items match their labels, reducing errors and enhancing user experience. Using video recognition instead of weight and scale measurements enables self-checkouts to become more efficient and user-friendly.

However, the high costs associated with current hardware solutions, which often rely on expensive GPUs, hinder large-scale implementation. This financial barrier often results in innovations getting stuck in the pilot phase, preventing widespread adoption.

Purpose built hardware combines the power of the cloud with the power budget of edge devices all while working with standard camera infrastructures. Reducing energy costs while spurring innovation lowers the total cost of ownership.

Optimize shopping with new insights

Smart video systems monitor shopper traffic and queues in supermarkets and malls, optimizing staff shifts to reduce wait times and improve the shopping experience. 

Additionally, computer vision can recognize car license plates, streamlining curbside pickup processes and improving reliability. This ensures orders are accurately matched with arriving vehicles, reducing errors and enhancing customer satisfaction.

These advancements showcase how computer vision AI-driven solutions can transform retail efficiency and customer service.

Enable large scale autonomous stores

In retail environments, combining object detection, classification, and pose estimation is crucial for tasks like automated inventory management, customer behavior analysis, and enhancing shopping experiences. For example, a system can use object detection to identify products, classify items, and pose estimation to understand customer interactions with products on shelves. The Axelera AI Metis design, with its four self-sufficient cores, efficiently handles these tasks in parallel, significantly enhancing performance.

By utilizing existing camera infrastructures, Axelera AI's solution avoids the substantial investment required to replace cameras with expensive AI-equipped alternatives. This makes it feasible to scale such solutions across large stores. Moreover, Axelera AI’s hardware brings data center-level performance into a compact and cost-effective form factor, reducing the total cost of ownership and enabling widespread deployment in retail settings.