Jacksonville to Upgrade Surveillance with High-Tech Crime Fighting Tools

Jacksonville to Upgrade Surveillance with High-Tech Crime Fighting Tools

Jacksonville, Fla. is looking to upgrade their surveillance with advanced technology such as gunshot detection.

City Council members in Jacksonville, Fla. understand that upgrading baseline surveillance systems is the best way to detect and fight crime in the city. On Tuesday, the Council moved to approve a new plan that would upgrade the city-wide surveillance cameras to include advanced technologies such as gunshot detection. 

The plan is to create a real-time crime center that would tie surveillance cameras from across the city to a gunfire-detection system, called ShotSpotter. The system would notify police when gunshots are detected by microphones that are installed in high places, such as church steeples and rooftops, around the city. 

The system would turn on cameras in the area of the gunshot to stream to police exactly what is going on at the time of the disturbance so police can move to the scene with more information than before.

Of the nearly 1,700 city cameras already in place, most are positioned inside of buildings. Jacksonville Sheriff's Office Chief Nick Burgos said the system will only use outdoor cameras. Chief Burgos said the authorities are already testing out a few new cameras to add to the system.

"One all of the cameras are up, we will have an additional 100 cameras, but there will be two cameras per location," Chief Burgos said in an interview with News 4 Jax. He noted that police will only be able to monitor up to 16 cameras at once.

The real-time crime center is located just west of downtown Jacksonville at the same site where the Florida Department of Transportation operates its traffic camera system.

About the Author

Sydny Shepard is the Executive Editor of Campus Security & Life Safety.

Featured

  • Report: 47 Percent of Security Service Providers Are Not Yet Using AI or Automation Tools

    Trackforce, a provider of security workforce management platforms, today announced the launch of its 2025 Physical Security Operations Benchmark Report, an industry-first study that benchmarks both private security service providers and corporate security teams side by side. Based on a survey of over 300 security professionals across the globe, the report provides a comprehensive look at the state of physical security operations. Read Now

    • Guard Services
  • Identity Governance at the Crossroads of Complexity and Scale

    Modern enterprises are grappling with an increasing number of identities, both human and machine, across an ever-growing number of systems. They must also deal with increased operational demands, including faster onboarding, more scalable models, and tighter security enforcement. Navigating these ever-growing challenges with speed and accuracy requires a new approach to identity governance that is built for the future enterprise. Read Now

  • Eagle Eye Networks Launches AI Camera Gun Detection

    Eagle Eye Networks, a provider of cloud video surveillance, recently introduced Eagle Eye Gun Detection, a new layer of protection for schools and businesses that works with existing security cameras and infrastructure. Eagle Eye Networks is the first to build gun detection into its platform. Read Now

  • Report: AI is Supercharging Old-School Cybercriminal Tactics

    AI isn’t just transforming how we work. It’s reshaping how cybercriminals attack, with threat actors exploiting AI to mass produce malicious code loaders, steal browser credentials and accelerate cloud attacks, according to a new report from Elastic. Read Now

  • Pragmatism, Productivity, and the Push for Accountability in 2025-2026

    Every year, the security industry debates whether artificial intelligence is a disruption, an enabler, or a distraction. By 2025, that conversation matured, where AI became a working dimension in physical identity and access management (PIAM) programs. Observations from 2025 highlight this turning point in AI’s role in access control and define how security leaders are being distinguished based on how they apply it. Read Now

New Products

  • Camden CV-7600 High Security Card Readers

    Camden CV-7600 High Security Card Readers

    Camden Door Controls has relaunched its CV-7600 card readers in response to growing market demand for a more secure alternative to standard proximity credentials that can be easily cloned. CV-7600 readers support MIFARE DESFire EV1 & EV2 encryption technology credentials, making them virtually clone-proof and highly secure.

  • Luma x20

    Luma x20

    Snap One has announced its popular Luma x20 family of surveillance products now offers even greater security and privacy for home and business owners across the globe by giving them full control over integrators’ system access to view live and recorded video. According to Snap One Product Manager Derek Webb, the new “customer handoff” feature provides enhanced user control after initial installation, allowing the owners to have total privacy while also making it easy to reinstate integrator access when maintenance or assistance is required. This new feature is now available to all Luma x20 users globally. “The Luma x20 family of surveillance solutions provides excellent image and audio capture, and with the new customer handoff feature, it now offers absolute privacy for camera feeds and recordings,” Webb said. “With notifications and integrator access controlled through the powerful OvrC remote system management platform, it’s easy for integrators to give their clients full control of their footage and then to get temporary access from the client for any troubleshooting needs.”

  • QCS7230 System-on-Chip (SoC)

    QCS7230 System-on-Chip (SoC)

    The latest Qualcomm® Vision Intelligence Platform offers next-generation smart camera IoT solutions to improve safety and security across enterprises, cities and spaces. The Vision Intelligence Platform was expanded in March 2022 with the introduction of the QCS7230 System-on-Chip (SoC), which delivers superior artificial intelligence (AI) inferencing at the edge.