Viterbi Faculty of Electrical Engineering, Technion
Architectural and System Aspects of a SPAD-Based Muzzle-Flash Detection System
Military conflicts and terror attacks in recent years raise interest in friend-foe detection and response-aiding systems. Unlike a classical battlefield, where a ground force could rely on a soldier’s instinctive reaction to hostile gunfire, modern warfare in densely populated areas makes this approach dangerous for uninvolved civilians, requiring an immediate and accurate detection and localization of the fire source before the response. Studies have suggested various methods to detect and localize gunfire source. The methods are based on acoustic, seismic and electromagnetic signature, produced by gunshot event. Depending on the kind of processed signature, the detectors use different technologies. Gunfire source detection using sensors based on CMOS single photon avalanche diode (SPAD) is a promising approach because of enabling kilohertz-range sampling rates without signal-to-noise ratio (SNR) degradation, very high sensitivity to a single photon and built-in pixel-level analog-to-digital conversion (ADC) capability. A muzzle-flash detection system can be used in different operational scenarios and constellations from being part of the personal equipment of an infantry soldier or law enforcement unit officer to being installed in a fixed site. Along another dimension, it can be a stand-alone detector or part of a bigger system, consisting of many detectors and control centers. All this variety of usage profiles imposes different, sometimes contradicting, requirements on the system and poses different challenges for system designers. In this work we explore architectural and system aspects of SPAD-based muzzle-flash detection system designed for different usage profiles and suggest possible solutions for the challenges posed by operational needs. We further present a prototype of SPAD camera-based muzzle flash detector, which has been used in field experiment and may serve system designers for SPAD camera performance estimation and development of detection algorithms.
* MSc seminar under supervision of Prof. Yitzhak Birk and prof. Yael Nemirovsky.
Sun 16 Jun 2019
Start Time: 14:30
End Time: 15:30
1061 | Electrical Eng. Building