ShotSpotter Making Smart Cities Even Smarter

SST, Inc., the leading provider of ShotSpotter gunfire detection and location technology, has established a partnership with GE to embed Surveillance Technology in Smart street lights. Urban areas throughout the United States are heavily laden with crime and law enforcement agencies are struggling to maintain control.

 

ShotSpotter And GE Combating Gun Crime


When a call comes into the 9-1-1 center, the dispatcher will immediately notify the available police officers. When the responding police officers arrive at the scene, they will investigate the situation. Oftentimes, the culprit had enough time to evade arrest, but the community is not so lucky, because they are left behind to clear away the mess.

ShotSpotter’s Surveillance Technology will allow cities to determine how many shooters were involved in the incident and to calculate gunfire within 10 feet of where it initially took place. This can all be done before law enforcement arrives on the scene, putting them a step ahead in the investigation.

Current powered by GE is an energy company that combines state-of-the-art hardware and software to deliver customers a 21st Century energy ecosystem. GE also utilizes solar, LED and energy storage to make this possible. While, the ShotSpotter sensor can be embedded into Current’s Smart street lights, it can also be utilized as a standalone unit.

Current’s second-generation sensor will be launching in 2017 and will have traffic, environmental and parking nodes. These nodes will provide cities with data for real-time analysis. The 2nd generation sensor has already been integrated with gunshot detection node, but it lacked the key elements that ShotSpotter offers, which is the ability to calculate the crime scene.

ShotSpotter mobile app will transmit real-time gunfire alerts to law enforcement officers. The 9-1-1 emergency system is lacking in time efficiency, as far as reported gunfire goes, with some reports being delayed by 20 to 30 minutes. This delay can also be blamed on other traditional means, such as slow caller response.

The sensor uses a machine-to-machine and GPS chip to provide communication to a cloud-based infrastructure. It is also embedded with microphones, digital and analog converters, storage, memory and a processor. The GPS chip is the most important component, because it provides precise time in a precise location.