xby-fire-detection

Flame detection is a frequently requested building block in security and transportation surveillance, yet wiring a dedicated recognition model into your own stack usually means standing up inference services, juggling multiple input formats, and managing API credentials -- a long, maintenance-heavy pipeline. xby-fire-detection packages this capability into a ready-to-use DeepSeek Harness plugin, so you can invoke flame recognition straight from the chat interface without deploying or maintaining your own inference service.

The plugin accepts input in three forms: an image file URL, a BASE64-encoded string, or a local file path, letting you match whichever fits your data flow. An API key set in chat is persisted automatically and survives restarts, removing the friction of re-entering credentials each session. The underlying model is tuned for general-scene flame recognition and performs best with security-camera and traffic-camera viewpoints.

If you are integrating flame recognition into surveillance platforms, traffic-monitoring systems, or any video and image application that needs a quick-to-embed detection step, these three functions plug straight into your data pipeline and spare you the long cycle of training or deploying a purpose-built model, so you can focus on business logic instead of infrastructure.