Artificial intelligence: transforming business security strategies

Download PDF version

Artificial intelligence allows machines to do jobs previously done by people. When it comes to security and surveillance, this technology allows cameras and control room equipment to identify a wide range of threats automatically and in real time across hundreds or even thousands of cameras – allowing security teams to take immediate action to protect people and assets.

AI technology and surveillance solutions

Artificial Intelligence technology built into surveillance solutions help organisations optimise their security

Video surveillance cameras are the electronic eyes of any security operation. In the past, human supervision was needed to make sense of the images captured, and to assess whether certain events posed a security risk or not. With some organisations using hundreds or even thousands of cameras to protect their people and assets, manual review of footage is simply impossible – potentially leaving them vulnerable to security breaches.

Advanced Artificial Intelligence technology built into surveillance solutions can help organisations overcome this challenge and optimise their security. This means cameras, control-room equipment and back-end infrastructure can now ‘learn’ about potential threats for themselves by recognising people, vehicles and even behaviours.

Detection and prevention

The manual interventions needed with traditional security systems mean that teams were frequently reacting to breaches that had already happened. Artificial Intelligence changes all this by recognising potential threats before they impact company’s people or assets – allowing security teams to react immediately to neutralise any potential threat.

Artificial intelligence solutions can automatically trigger alerts when a person appears in a restricted area

For example, artificial Intelligence solutions can automatically trigger alerts when a person appears in a restricted area, or when a vehicle with a blacklisted number plate enters a site. With alerts delivered in real time, teams can identify and react to security threats and protect people and assets more effectively. And because alerts are automated, potential threats are hardly missed or overlooked.

How does artificial intelligence work?

Artificial Intelligence systems become more intelligent over time, building databases of potential threats and reacting to new events accordingly. This allows systems to ‘think for themselves’ and to alert teams of any suspicious events or people who are caught on camera.

Artificial intelligence technologies use advanced algorithms based on Deep Learning to distinguish between different kinds of security events and threats. Technologies incorporated into the Hikvision portfolio include:

Facial recognition which allows law enforcement personnel to identify suspects and commercial teams to identify VIP customers in real time.
Vehicle identification which can be used to identify vehicle number plates and recognise different types of vehicles (even down to make and model), or to trigger alerts when vehicles enter restricted areas.
Perimeter protection which helps organisations to identify real threats by distinguishing people and vehicles from other moving objects and keeping false alarms to a minimum.
Business intelligence which employs people counting, queue detection, and heat mapping technologies, so that organisations can enhance operational efficiency by making use of the data report.

Increasing commercial success

Artificial intelligence isn’t just useful for identifying security threats – although this is a key strength of the technology. It can also help organisations increase their competitiveness and commercial success.

For example, VIP customers who opt to participate in special marketing promotions or other incentives can be identified so staff can provide the right kind of service at the right time. This gives organisations the opportunity to personalise the service experience, foster loyalty and maximise customer lifetime revenues.

Artificial Intelligence can help organisations to better understand customers and meet their needs more effectively

In the same way, artificial Intelligence can help organisations to better understand customers and meet their needs more effectively – leading to more commercial opportunities. One feature – called People Counting – allows stores and commercial centres to map footfall at peak times, ensuring that staffing is optimised to meet demand. At the same time, stores can see which areas of the building customers visit most and adjust their merchandising and product positioning accordingly to maximise the sales opportunities.

Artificial intelligence at Hikvision

Hikvision’s family of artificial intelligence products include the DeepinView network cameras and DeepinMind NVRs. The products help to tackle security with facial recognition; monitoring and counting of people; and recognition and detection of vehicles, to name a few. These features all depend on artificial intelligence technology to recognise, classify and respond to security threats.

This article was written by Hikvision.

Download PDF version

Related companies
Hikvision

View all news from
Hikvision

In case you missed it

How does technology innovation impact security in public spaces?

Public spaces provide soft targets and are often the sites of terrorist or active shooter attacks. Public spaces, by definition, require easy accessibility and unrestricted movement. Given that openness, what security technologies can provide real results? We asked this week’s Expert Panel Roundtable: How is technology innovation impacting the security of public spaces?

UK Government releases strategy to tackle growing security threat of drones

The UK Government has been working to reduce the risks associated with illegal drone use since a high-profile incident at UK’s Gatwick Airport in December 2018, when a drone sighting triggered a three-day shutdown of the UK’s second busiest airport, disrupting the travel plans of 140,000 people and affecting 1,000 flights. To address growing security threats by drones, the UK Government has released its ‘Counter-Unmanned Aircraft Strategy’. ‘Counter-Unmanned Aircraft Strategy’ This strategy sets out our approach to countering the threat the malicious or negligent use of drones can bring" “This strategy sets out our approach to countering the threat the malicious or negligent use of drones can bring,” says Brandon Lewis, the U.K. Minister of State for Security. “It will provide the security the public and drone users require to continue to enjoy the benefits of leisure and commercial drone use and facilitate the growth of the drone industry.” “Given the challenge posed by rapid advances in drone technology and the potential threat, the strategy will provide overarching direction to our efforts,” says Lewis. The strategy focuses on ‘small drones’, those weighing less than 20 kg (44 pounds). Countering malicious use of aerial drones The UK Counter-Unmanned Aircraft Strategy centres on mitigating the highest-harm domestic risks resulting from malicious use of aerial drones. They are: Facilitating terrorist attacks, such as modifying commercially-available drones to conduct reconnaissance or attacks. Facilitating crime, especially in prisons, where drones are currently used to deliver contraband. Disrupting critical national infrastructure, such as airports, where a malicious incursion using a drone can have serious safety, security and economic consequences. Potential use by hostile state actors. Maximising benefits of drone technology The initiative will also look to build strong relationships with industry to ensure high security standards Over the next three years, the strategy will seek to reduce the risks posed by the highest-harm use of drones while maximising the benefits of drone technology. It will develop a comprehensive understanding of evolving risks and take a “full spectrum” approach to deter, detect and disrupt the misuse of drones. The initiative will also look to build strong relationships with industry to ensure high security standards. Further, promoting access to counter-drone capabilities and effective legislation, training and guidance will empower the police and other operational responders. Tactical response to drone-based threats Because technology is rapidly evolving, the response needs to keep pace, according to the strategy document. Lewis adds, “We will therefore work to understand how drone-based threats might evolve in the future, both at the tactical and strategic levels.” The strategy will be to build an end-to-end approach to tackling the highest-harm criminal use of drones. It will also work to make it easier to identify malicious drone use against a backdrop of increased legitimate use. Legal drone operators will be required to register with the Civil Aviation Authority (CAA) and to pass an online competency test before flying a drone. Retailers who follow a specific set of safety guidelines when selling drones will be designated ‘DroneSafe’. Unmanned traffic management system The government is working toward future implementation of an unmanned traffic management (UTM) system, which provides a means of preventing collisions between unmanned aircraft and other manned or unmanned aircraft. The current strategy includes early planning for the system. An Industry Action Group will ensure a continuing relationship with the drone industry and help to improve existing counter-drone measures and identify new opportunities, such as use of ‘Geo-Fencing’ to restrict drones from flying in certain areas. Regulating commercial and domestic drones The UK Department of Transport is responsible for safe and lawful use of drones within the UK airspace The strategy will seek to communicate the UK’s security requirements to the counter-drone industry and to encourage a thriving sector that is aware of, and responsive to, the needs of government. Regulating drones is the responsibility of two UK government departments. The UK Department of Transport is responsible for safe and lawful use of drones within the UK airspace, while the Home Office has overall responsibility for domestic counter-drone activity. Fast-evolving drone and counter-drone technology Also, the Center for the Protection of National Infrastructure (CPNI) has been involved in reducing the vulnerability of sensitive sites, including airports. New performance measures will track the strategy’s success. Due to the fast-evolving nature of drone and counter-drone technology, the intent is to review and, if necessary, refresh the strategy in three years.

Smiths Detection explores biometric solutions for airport security checkpoints

Technology is expanding passenger screening functions and other capabilities at airport security checkpoints. For example, Smiths Detection is exploring the concept of a security checkpoint that integrates biometric identity management with screening solutions, says Richard Thompson, Global Market Director Aviation, Smiths Detection. Biometrics is the “unique identifier’” for passengers, and through integration of biometrics directly into the checkpoint, passengers can be matched with their luggage trays to enable real-time risk-based screening (RBS). The system is now able to trigger differentiated workflows for each passenger and their bags. Risk-based screening Risk-based screening optimises security operator resources through enhanced screening of passengers who represent a higher risk, while passengers deemed to be low risk enjoy a more seamless journey.Passengers deemed to be low risk enjoy a more seamless journey Easily integrated with existing infrastructure, biometric checkpoints deliver operational efficiencies and a competitive advantage to airports through accelerating the screening process, thus enabling a more seamless free flow of passengers. Passenger and tray identification Through passenger and tray identification, new data insights can also be gathered to inform decision-making. Advanced data analysis based on flights, airlines or destinations could be utilised by airlines and security authorities. For example, airlines could monitor passenger flow through security for specific flights or track the number of trays per flight to predict overhead compartment capacity. Checkpoint data could also be combined with hold luggage screening results or shared with transit and arrival airports to better inform security assessments. Advanced data analysis based on flights, airlines or destinations could be utilised by airlines and security authorities Advanced screening of carry-on baggage Smiths Detection’s HI-SCAN 6040 CTiX offers advanced screening of carry-on baggage using Computed Tomography (CT), an advanced X-ray technology originally intended for medical applications, which allows for detailed, layered 3D images to be rotated and dissected. Electronic devices and liquids do not need to be removed from baggageThis enables detailed detection, meaning electronic devices and liquids do not need to be removed from baggage, thus expediting screening and further improving the passenger journey. Smith Detection’s iLane.evo is an automatic tray return system. By delivering a steady flow of trays, it plays a critical role in streamlining the screening process and delivering increased throughput; optimised operational costs; and an improved passenger experience. AI for object recognition In other trends, the use of artificial intelligence (AI) in aviation security is on the rise due to the exponential growth in computing power. It has the potential to significantly boost the performance of screening equipment – allowing for the deployment of new object recognition functions at the checkpoint, which could pave the way for a more automated, alarm-resolution-only passenger screening. Smiths Detection has developed a family of smart algorithms, called iCMORE, which use machine learning to reliably detect prohibited or dangerous goods in baggage, including weapons, to reduce the burden on image analysts and improve screening outcomes.