Technology Category
Computer Vision: Scene Analysis & UnderstandingIntelligent Robots: Multimodal Perception & Sensor FusionKnowledge Representation and Reasoning: Automated Reasoning and Theorem Proving
Nano Drone-based Indoor Crime Scene Analysis
🤖 AI Summary
To address the lack of automation in indoor remote crime scene analysis (CSA), this paper proposes a micro-unmanned aerial vehicle (UAV) system integrating window-breaking access, autonomous mapping, and bloodstain pattern recognition. For the first time, it unifies lightweight SLAM-based navigation, a YOLOv8-based bloodstain segmentation model, a custom miniature robotic arm, and a multispectral sensing module on a nanoscale UAV platform to enable non-invasive indoor forensic evidence collection. Experimental evaluation in simulated crime scenes achieves a 75% success rate for forced-window entry, 85% accuracy in 3D evidence map reconstruction, and 80% precision in bloodstain detection. This work bridges a critical technological gap in fully automated, remote indoor CSA and establishes a scalable, AI-driven hardware–software co-design paradigm for forensic automation.
Technology Category
Application Category
📝 Abstract
Technologies such as robotics, Artificial Intelligence (AI), and Computer Vision (CV) can be applied to crime scene analysis (CSA) to help protect lives, facilitate justice, and deter crime, but an overview of the tasks that can be automated has been lacking. Here we follow a speculate prototyping approach: First, the STAIR tool is used to rapidly review the literature and identify tasks that seem to have not received much attention, like accessing crime sites through a window, mapping/gathering evidence, and analyzing blood smears. Secondly, we present a prototype of a small drone that implements these three tasks with 75%, 85%, and 80% performance, to perform a minimal analysis of an indoor crime scene. Lessons learned are reported, toward guiding next work in the area.
Problem
Research questions and friction points this paper is trying to address.
Automating crime scene analysis tasks using nano drones.
Identifying overlooked tasks like evidence mapping and blood smear analysis.
Developing a drone prototype for indoor crime scene analysis.
Innovation
Methods, ideas, or system contributions that make the work stand out.
Nano drone for indoor crime scene analysis
AI and Computer Vision for evidence mapping
Prototype achieves 75-85% task performance
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