As part of the Commanding General of Army Material Command's Research, Development & Engineering Command (RDECOM), the U.S. Army Research Development and Engineering Center (ARDEC), Picatinny funded a joint development effort with McQ Associates, Inc. to develop an Advanced Minefield Sensor (AMS) as a technology evaluation prototype for the Anti-Personnel Landmine Alternatives (APLA) Track III program. This effort laid the fundamental groundwork of smart sensors for detection and classification of targets, identification of combatant or noncombatant, target location and tracking at and between sensors, fusion of information across targets and sensors, and
automatic situation awareness to the 1st responder. The efforts have culminated in developing a performance oriented architecture meeting the requirements of size, weight, and power (SWAP). The integrated digital signal processor (DSP) paradigm is capable of computing signals from sensor modalities to extract needed information within either a 360° or fixed field of view with acceptable false alarm rate. This paper discusses the challenges in the developments of
such a sensor, focusing on achieving reasonable operating ranges, achieving low power, small size and low cost, and applications for extensions of this technology.
McQ Associates, Inc. has worked on a number of efforts to develop practical, fieldable infrared imaging systems which are intended to be used as an integral part of low power remote sensor and surveillance systems. Recent efforts contributing to such an integrated system have been funded through the Office of Naval Research, the U.S. Army Picatinny Arsenal, and the Air Force Research Lab in Rome, NY. The efforts have culminated in developing a digital signal processor based platform capable of detecting, tracking, and extracting multiple targets within either a 360 degree or fixed field of view. This paper discusses the challenges in the developments of such a sensor, focusing on extending achieving reasonable operating ranges, achieving low power, lowering size and cost, and applications for this technology.
Remote, automated, day/night detection, classification, and tracking of personnel and vehicles is vital to a wide variety of security, law enforcement, and military applications. A practical system must consider cost, power, size, and operational limitations. Video tracking offers the ultimate in definitive identification and tracking capabilities, but also maximizes cost and power consumption. 360 degree views from a single infrared camera maximize the ability to monitor and track targets in a wide area. Other technologies using acoustic, seismic, and magnetic sensing can be used to extend the range or resolution of the system as well as preserving power by performing initial detection of targets to trigger video sensors. A variety of detection, fusion, and tracking algorithms can be applied to monitor targets around these sensors and across a wide area using multiple sensors.
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