Computer Vision.
Computer vision is one of Remiam's deeper specialisms — across CV-in-retail experiments, ML-on-device live activations, and post-hoc image analysis pipelines. Face the Date used facial-emotion recognition projected onto a heritage venue on UK Brexit night; the Westfield Ocean Explorers activation pose-tracked children inside the booth using TensorFlow.js + MediaPipe; the Segment Analyzer batches retail interior photography through GPT-4 Vision for label-and-percentage extraction; the Trax roadkill app uses image tagging server-side to enrich GPS-located records.
Face the Date
A live Brexit-date event. Selfies uploaded via a Nuxt.js web app, projected onto the historic Bargate, with facial-emotion recognition analysing public sentiment in realtime.
Segment Analyzer
An experimental AI product built for a US strategy client. Type a location and an industry sector — the tool scrapes that location, gathers interior photos, runs them through GPT-4 Vision to label features and surface percentage breakdowns, then lets you compare industries head-to-head on interior-design trends. Replaced weeks of in-person fieldwork with minutes of automated analysis.
The Discovery Reef
A pose-tracked, fish-eye-camera-captured kids activation Remiam built for a UK shopping-mall family-activation tour. Children played a sequence of physical activities inside the activation zone, the camera and TensorFlow-powered pose detection recorded their session, and parents scanned a QR code to give permission and unlock the recorded clip for viewing online through a hosted family platform.