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Hitachi

Social Innovation

The Public Safety Roadmap

Digitisation to Deliver Unified Intelligence and Safer Societies

“There are two distinct phases in the evolution of public safety. Historically, the focus of technology investment has been on communication and evidentiary solutions.”

Urban Centres Evolving from Video Surveillance to Safe Cities
Urban Centres Evolving from Video Surveillance to Safe Cities

There are two distinct phases in the evolution of public safety. Historically, the focus of technology investment has been on communication and evidentiary solutions. Video surveillance has largely been one of the critical technologies for public safety. The number of installed cameras across cities and critical infrastructure is vast and continues to grow. Upgrades and development of camera networks will continue.

But the future focus is to improve the use of video surveillance and analytics for public safety and transition from an evidence system to a real-time situational awareness tool focused on incident prevention. At present, monitoring a citywide camera network is an unachievable task, but IoT solutions for better analytics and development of machine learning will provide the answers to make this a much more effective tool.

The convergence of IoT with surveillance solutions is driving strong growth in the overall city surveillance market (made up of cameras, video management systems, analytics and data storage), with over $2.5 billion spent globally in 2017 alone. This will surpass $3 billion per year by 2022.

City Surveillance Forecast
“Surveillance will move beyond a prevention and evidentiary tool to be used for real-time monitoring to provide better situational awareness across cities and major events”

1. Advanced Video Analytics
2. Remote Monitoring
3. Increased Situational Awareness
4. Improved Operational Efficiencies

Advanced video analytics will be one of the most dynamic growth applications arising from this trend. Critical functionalities will include facial recognition, license plate recognition, scene analysis, left objects, and crowd detection. The reliability of these has improved considerably over the past five years and will continue to get better. In the future, these will provide powerful tools to help monitor events in real time. However, video surveillance is only one element of security solutions.

Analytic
Description
Application
Facial Recognition
Identification of specific persons of interest often against a database.One-to-one verification. Facial analysis including age, sex, ethnicity and expression.
Alerting authorities to whereabouts of specific people of interest. The application is limited to specific ‘choke’ points, and a controlled environment can ensure good picture quality. Border access control, national identity systems, and high-profile areas.
License Plate Recognition (LPR)
Ability to process numbers and letters on vehicle license plates.
Validate number plates against real-time database monitoring cars of interest, and identifying stolen cars and loitering cars.
Vehicle Recognition
Identifying the model and make
of a vehicle.
In conjunction with LPR – ability to identify potential vehicles of interest if license plates do not match make or model.
Scene Analysis
Detection of suspicious objects and events and recognition of suspicious behaviour through pre-defined parameters.
Alerts control rooms when there is a potential threat. Improves human efficiency and requirement to manually monitor low activity areas. Ability to adapt to the customer need/scenario.
Audio Recognition
Audio signature alerts, specifically gunshot identification.
Quick alert for an armed response in areas where shots are fired.
Crowd Mapping and Traffic Monitoring
Monitoring both vehicle and pedestrian traffic flow across a city.
Identification of patterns and analysis of movements across the city allow better planning and resource deployment to the busiest and most congested areas. Provides increased security and operational benefits across the city.

By 2025, public safety agencies will transition away from reactive technologies towards a unified intelligence centre. All data will be collected from a range of sources across a city and sent to an advanced command and control system. Information is collated, analysed and presented to operational command so that they have a single, common and real-time operational view of a situation. This can then flow back and forth to resources and operational personnel on the ground, allowing them to better coordinate, dispatch, and monitor resources and response.

Impact of Technology 2005-2025

By 2025, the goal is to break down data silos and barriers that have prevented information sharing to allow public safety agencies to have access to the right information to inform real-time and intelligent decision making. The rise of new technologies outlined above will facilitate this by helping to generate actionable insights of all the information, running advanced analytics, correlating trends, and identifying issues.

Impact of Technology 2005-2025

2005
2015
2005
• Analogue focus
• Low picture resolution
• 80/20 split analogue to IP
• Higher IP engagement
• HD resolution
• Higher levels of data delivery
• 65/35 split analogue to IP
• 100% IP sales
• High level, on camera analytics
• 30/70 split analogue to IP
• On-premises storage and Digital/Analogue Video Recording
• Low storage capacity
• Standalone
• Network video recording/ networked solutions
• Early cloud/ hybrid storage
• High storage period
• Cloud networks
• High connectivity and sharing
• High level of officer
data delivery
• Low availability
• Simple functionality- virtual fences, direction of travel, etc.
• Medium-high availability
• Increased functionality-crowd analysis, etc.
• Full integration
• Higher-level functions-facial biometrics
• Smarter AI-led operations
• Low utilisation
• Distributed and ‘dumb’
• Top-level insights
• Low number of inputs
• Deeper insight development
• High connectivity and sharing
• Operational impact
• High level of sensor input
• Deep-level analytics
• AI and machine learning analysis of crime data
• TETRA communications
• Low system interoperability
• Low data carrying
• LTE communications
• Higher volume data carrying
• Improved connectivity
• Hybrid solutions
• Built for high-level video and data
• High sensor connection number
Low connectivity, top-level data usage and technically limited
Low connectivity, top-level data usage and technically limited
Improved data sharing, access and analysis with a focus on distributed networks
High-level system intelligence and
automation, together with deep data insight creation

Presenting data in a clear and coherent way to operators and disregarding irrelevant information is critical. A common issue is not having the right information at the right time. This has been a criticism of some of the largest security incidents that could have been prevented by security agencies over the past decade. In many cases, the major criticism was that data wasn’t shared or connected to create the full story.

Data & Analytics in Public Safety
“The extraction, analysis, management and use of data will be the cornerstone of security moving forward.”
Data is KING

Use of Data
Actionable intelligence – Ensuring that only relevant data is shown to facilitate decision making

Visualisation
Clarity to the end user – What does the data mean and what should be done?

Ease of Integration
Different sources of data stored and anaylsed in multiple operating systems/ databases

Access/ Sharing
Increased multi–agency collaboration: Ensuring the right people at the right time

Storage of Data
Changing storage models:
• Public Cloud
• Private Cloud
• On-premise Hybrid