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Releaseperception2026-06-29

"Find the red cup" — open-vocabulary object detection on-device

Tell your robot what to look for in natural language. YOLO + CLIP runs on Jetson GPU — no cloud, no pre-defined classes.

Define Detection Targets With Language

Traditional object detection requires pre-trained fixed classes. Now you can dynamically tell the robot what to find.

How It Works

  • Tell the robot: "Find the red cup"
  • The Agent calls set_classes(["red cup"])
  • YOLO + CLIP model detects it in the video feed in real time
  • Returns the position and confidence when found

Technical Highlights

  • Open vocabulary — Any English description can be detected, not limited to fixed classes
  • On-device inference — Runs on Jetson CUDA GPU, no network required
  • Dynamic switching — Change detection targets at any time without retraining
  • Pre-downloaded models — Downloaded from COS on first boot, fully offline afterward

Use Cases

  • Search and rescue: find a person wearing red clothing
  • Warehousing: locate specific products
  • Inspection: spot anomalous objects