Next-Generation Public Safety Technology
Govciooutlook

Next-Generation Public Safety Technology

Catalina Joseph, Gov CIO Outlook | Monday, August 23, 2021

Governments must safeguard thousands of embedded devices and protect all public and private data as it passes through the system as intelligent technologies spread.

FREMONT, CA: The exponential rise in processing power at the edge is broadening capabilities and spreading artificial intelligence worldwide. Internet of Things (IoT) devices for public safety that can observe, react, and intervene on their own are becoming commonplace. The following are the key technologies that enable it all:

Higher-Performance IoT in Public Safety

High-performance computer and networking technologies that can withstand severe circumstances are required to make cameras, lamps, and crossroads smart. Manufacturers are responding with embedded and industrial-rated SoCs, Computers on Modules (COMs), and purpose-built devices that can bring artificial intelligence and autonomous computing to the most demanding edge applications.

5G Edge Networks

5G networks will have 10x less latency, 50x faster speeds, and 1000x more capacity than 4G networks. These extra seconds can save lives in an emergency circumstance. This significant improvement in speed and bandwidth will bring emergency services even closer to a real-time understanding of events on the ground, allowing them to better coordinate and respond.

Open Standards, Data Sharing, and Increased Security

If first responders, commanders, and government leaders cannot access public safety data. The success of any smart public safety solution depends on open hardware standards, open data frameworks, and shared data pools. All of that information comes at a cost. Agencies are responsible for keeping data secure once they get it, especially sensitive criminal and medical data. Governments must safeguard thousands of embedded devices and protect all public and private data as it passes through the system as intelligent technologies spread.

Sensory Applications, Artificial Intelligence, and Computer Vision

Deep learning also generates the models that other gadgets use to figure out what something means. Data scientists, for example, have taught deep learning models to distinguish the sound of shattered glass. Smart streetlights can use these types to listen for accidents and break-ins. If a smart streetlight detects glass breaking, it will turn red, blink, and call for help—all without the need for human interaction.

Artificial intelligence enables smart city and public safety technology to sense, evaluate, and respond.

Smart cameras can detect accidents, and EMS can be sent.

Microphones can detect gunshots, triangulate the shooter's location, and communicate that information to first responders.

Interviews can be transcribed and entered into evidence management systems using natural language processing.

See Also :- Top Enterprise Security Solution Companies

Weekly Brief

Read Also