155.io Launches the CCTV Game Genre with Rush Hour

155.io has launched Rush Hour, the first title in what the studio is calling the "CCTV Game" genre: prediction games built on real-world footage and AI object detection.

The concept is straightforward. Cameras capture real locations. AI draws bounding boxes around objects (vehicles, in Rush Hour's case) and counts them as they cross a detection zone. Players predict the final count. Rounds take about 60 seconds.

A New Category

"Rush Hour is the first expression of our CCTV Game genre," said Sam Jones, 155.io's founder and CEO. "Think Big Brother blended with Polymarket. The world is now our studio."

The studio is positioning CCTV games as a distinct category, separate from slots, table games, and live dealer. The key difference: outcomes are determined by real-world events, not by a random number generator or a human dealer.

How It Works

Rush Hour streams from locations including Tokyo, New York, London, Bangkok, Paris, and Sydney. Players choose from four bet types: Under, Over, Range, or Exact. Over/Under bets carry a 95-97% RTP. Exact bets pay 18x but with a 15-25% house edge.

Every round produces a permanent video record with detection overlays. Results are verifiable via blockchain hash pairs. For a full breakdown of the mechanics, see our How CCTV Games Work guide.

What Comes Next

155.io has signalled that Rush Hour is just the start. The studio's portfolio includes titles like Fish Tank, Plinko, and Rolling Dunes, with the CCTV format designed to expand to any real-world scenario where objects can be counted.

Duck River and Snow Run have since confirmed that the format works beyond traffic cameras.