Hop24 turns real highway footage into an arcade game. Players control an animated chicken crossing traffic recorded on Nashville’s I-24 corridor, timing hops between vehicles. The unusual part is that the cars and trucks are not manually created obstacles: before gameplay, YOLO/FastSam detects vehicles in each video frame, recording bounding boxes, labels, confidence scores, and timestamps.
The browser combines video playback with a canvas showing the chicken and game elements. Saved detections drive collision detection, while autopilot uses recent vehicle positions to estimate movement and decide when the chicken should advance, wait, or retreat.
A collision starts a second experience: investigation. Hop24 replays the event, captures evidence, uses an AI-generated video description to build a query such as “white truck,” and searches an archive for related footage from other cameras. Results can be collected into an incident report.
The system uses VAST for storage and processing, VastDB for detections and searchable data, NVIDIA Cosmos Reason for video descriptions, Cosmos Embed1 for representations, and CoreWeave GPUs. Most AI processing happens before gameplay, keeping the interactive experience responsive.
Hop24 demonstrates how detected objects can connect gameplay, video search, and investigation—while making clear that similar vehicles are only candidate sightings and that the chicken collision is fictional.
