Content-based image and video search for ecommerce. Search media assets with text queries, or retrieve similar images and videos based on visual content. Improve product discovery and customer experience by enabling intuitive search capabilities.
Based on multimodal embeddings for semantic content understanding, provides advanced visual search capabilities to find products quickly and easily using images or descriptive text.
Detect and track individuals in queues analyzing video feeds from cameras in real-time. Count the number of people in line, monitor waiting times, and even identify patterns in customer behavior to feed your analytics.
Manage queues in real-time and avoid common frustrations in retail stores. Act before bottlenecks form managing occupancy and queue lengths dynamically.
Understand customers behavior for improving their experience and business performance. Object tracking makes it possible for retailers to monitor foot traffic, measure dwell time, and analyze movement patters - all without needing invasive or manual methods.
With real-time tracking you can gain insights into peak hours, popular areas, and even queue lengths, which enables data-driven decisions to optimize store layout, inventory placement, and staffing.
From Abraia Vision we develop custom computer vision solutions based on state of the art deep learning models and image processing, ready to run on local devices (Edge AI). This approach allows for real-time analysis and decision-making without relying on cloud services.
Edge AI involves deploying lightweight models on devices like smartphones, cameras, drones, or industrial machines, rather than sending data to cloud servers for processing. It helps to reduce latency by processing data locally, reduce costs by minimizing data transfer to the cloud, and enhance data security and privacy by keeping sensitive information on the device rather than transmitting it to the cloud.
We solve and build custom computer vision applications ready to run in the edge on real time, for multiple problems and sectors, based on state-of-the-art foundation models for image classification, object detection, image segmentation, or even person recognition. For instance, computer vision in agriculture enables intelligent agriculture -like detecting plant diseases- and food production for smart farming applications.
Request assessment for your problem and get a solution ready to be tested on the field, like count and track animals, detect weed seed, recognize people, detect defects, etc.