A selection of projects where we turned complex business challenges into production-ready AI systems.
Real-estate and retail AI tool that replaces floor materials in room photos in real time. Customers upload a photo of their space and instantly preview any tile or flooring product — increasing purchase confidence and reducing product returns.
Precision agriculture AI system processing aerial multispectral drone imagery to detect and map weed clusters within crop fields. Generates actionable zone maps for targeted herbicide application, reducing chemical usage by up to 60%.
Underwater computer vision system monitoring lobster tanks in aquaculture facilities to automatically detect molting events. Eliminates manual observation shifts, enabling farms to intervene immediately and reduce post-shedding mortality rates.
High-speed conveyor belt inspection system using computer vision to detect cracked or defective milk packaging in real time. Processes bottles at line speed with bounding box localization, reducing quality control failures and recall costs for dairy producers.
Multi-face emotion recognition system using thermal-mapped CNN inference to classify facial expressions as happy, surprised, neutral, and more in real time. Used for retail analytics, mental health monitoring, and UX research.
Multi-object tracking system for padel tennis that detects players and ball from overhead cameras, reconstructs shot trajectories, and generates performance analytics. Deployed in smart courts across Spain and Latin America.
Broadcast-grade computer vision prototype tracking tennis ball trajectories and player positions from a single fixed camera. Reconstructs shot arcs, measures court coverage, and outputs per-rally statistics for coaching and broadcast enhancement.
Urban infrastructure mapping system using YOLOv7 to detect basketball hoops across street-level and aerial imagery. Pinpoints exact GPS coordinates on a map, enabling city planners and sports organizations to audit and optimize public court resources.
Real-time AI surveillance system monitoring highway footage for reckless driving, sudden lane changes, and collision risks. Classifies vehicle behavior with bounding boxes and generates alerts at sub-second latency for traffic management centers.
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