> For the complete documentation index, see [llms.txt](https://releases.flytbase.com/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://releases.flytbase.com/october-2025/ai-r-model-switching-and-confidence-control.md). # AI-R: Model Switching & Confidence Control AI-R now gives you greater control over your detection models enabling operators to configure detection accuracy and performance to their environment in real time. This release introduces two powerful new controls: 1. **Model Selection:** Switch between *Larger Object Detection* and *Smaller Object Detection* 2. **Confidence Threshold Adjustment:** Fine-tune your detection sensitivity directly from the dashboard letting you decide if AI-R prioritizes catching every possible detection or filtering for only high-confidence results. ### Configuring Detection Behaviour In the **AI-R Settings** panel inside the Cockpit View, you’ll now find: #### Model Type Dropdown * **Large Object Detection Model** – optimized for close-range, high-confidence detection of people and vehicles. * **Small Object Detection Model** – optimized for identifying people and vehicles at longer ranges or when targets appear smaller in wide-area surveillance missions.

### Confidence Threshold Slider The **Confidence Threshold** slider lets you choose a value between **0% and 100%**, determining how confident the AI must be before labeling an object as detected. * Lower values = more detections (less strict). * Useful when you don’t want to miss anything Eg, detecting small or far-away objects. * Higher values = fewer detections (higher precision). * Useful for precision-critical environments. Eg, perimeter security or automated alert

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