Security Technology Executive

FEB-MAR 2018

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10 SECURIT Y TECHNOLOGY E XECUTIVE • Februar y/March 2018 • www. TECH TRENDS By Ray Coulombe • M aybe it was the ever-present sound of bubble wrap getting popped over the holidays, or, more seri- ously, the inundation and disgust many of us have felt over the past months over an endless parade of senseless shoot- ings. In any event, I felt compelled to look deeper into the topic of gunshot detection as the subject of this month's column. " When all preventative security measures have failed, gunshot detection systems can help provide a valuable tool when paired with appro- priately developed human responses," explains Brian Coulombe, Principal at DVS Security. "Like all security technology, a human being still has to interpret the situation, validate the alarm, and react appropriately." I analyzed four companies offering different gunshot detection systems to try to gain further perspective on their approaches: Louroe's Audio Analytics Louroe has partnered with a Netherlands-based company, Sound Intelligence, to enhance its sound-related product offering with audio ana- lytics. Introduced in 2015, Louroe's analytic algo- rithms are targeted at the applications of not only gunshot detection, but also aggression detection, glass break, healthcare monitoring and car alarms. The analytics work by using sound pressure levels at various frequencies, rates of rise, and amplitude – just some of the physical inputs into the system. The system relies on its integration with third-party video systems –in essence, think of the gunshot detection as an alarm input into a VMS, prompting operator analysis and response. "The price of a false alarm is enormously high, thereby mandating human verification," says Cameron Javdani, Louroe's Director of Sales and Marketing , noting that there is a typically a few- week adjustment period to get the system tweaked. Javdani sees the trend toward the increased use of big data and automation making these systems even better, and he notes key verticals for the technology, including education, corpo- rate, government ( including city surveillance) and healthcare. Hearing is Believing A closer look at a few of the hot gunshot detection products on the market ShotSpotter for Public Safety Applications Founded in 1996, when it was issued its first patent, ShotSpotter began to focus and significantly expand after getting its first VC funding in 2004. The company's technology is home-grown, with 30 patents to its credit. The technology has been deployed in more than 90 cities worldwide. Virtually every public safety application is a custom designed sensor array, optimized for a given geography in terms of sensor density and positioning; however, occasionally, positioning of light poles and desire of a municipality to use these may dictate sensor patterns. Inputs from 3-4 sensors are needed to triangulate the gunshot location, although more inputs may be picked up from additional sensors in the array. "The sensor arrays are engineered to compensate for the possible loss of sensors and to provide redundancy and resiliency," explains Gary Bunyard, the company's SVP of Public Safety Solutions. ShotSpotter splits its marketing into two areas: Public safety, focused on rel- evant outdoor applications, and security, covering other outdoor and indoor applications. Each outdoor sensor has its own cellular capability and communicates into a cloud-based algorithm which, after the number crunching is performed, reports its findings to operators at the company's Incident Review Center for further analysis and verification. The automated first phase is said to be about 80-per- cent accurate, where the human-based second phase gets closer to full accuracy. Response time is typically 25 seconds, although SLAs usually provide for less than 60 seconds 90 percent of the time. While caliber discrimination is not regarded as viable, detection of multiple shooters, high capacity automatic weapons, as well as direction and rate of movement of shooter is doable now. Further, ShotSpotter is testing various AI/Cognitive platforms to determine their efficacy in improving its machine classification capability. SDS: Raytheon-Based Technology Adapted for Commercial A system called Bullet Ears was developed by a compa- ny called BBN Technologies – later acquired by Raythe- on – and tested by DARPA (Defense Advanced Research Projects Agency) for use in military environments as early as 1996. Bullet Ears used a microphone network Ray Coulombe is Founder and Managing Director of Securit and RepsForSecurit y. com. Ray can be reached at ray@ Securit ySpecifiers. com, through LinkedIn at w w raycoulombe or followed on Twitter @RayCoulombe. Continued on page 14

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