Answers are grounded in this paper and cite their sources.
Collapsed buildings, mine roofs and landslides trap people under heavy debris, and their chances of survival fall as time passes. Finding the exact position of a victim is the slowest and riskiest part of collapsed structure search and rescue (CSSR), especially in rural and mining-affected areas where modern equipment, light and stable ground are not available. This paper studies an Advance Body Detection System (ABDS) that sends 1.5 GHz radio-frequency (RF) waves into the debris and uses a low-cost thermal camera to confirm the heat of a human body. The architecture, the RF chain (antenna, VCO, LNA, mixer and analog-to-digital detector), the processing unit and a decision logic that cross-references both sensors are explained with block diagrams, a signal-processing chain and a flowchart, and basic calculations for the RF module and the thermal camera are given. The study, based on recent literature (2020 onwards), shows that RF waves can pass through non-metallic debris and sense the small movement of a hidden person, while a thermal camera detects body heat only at the surface; using both together gives more confident detection than either alone. The main limitations are unwanted reflections from debris, metal and moisture, limited penetration depth, radio-frequency regulations and the need for field trials. No experiments were carried out; calculated values are typical values for explanation
No takes yet. Share an insight, caveat, or question.
Shaikh et al. (2026) studied this question.
Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context: