6 Ways to Reduce Risk with Video Surveillance

V3 Smart Technologies Pte Ltd.

The significance of risk mitigation for security and safety

In 2022, the global usage of video surveillance technologies reached a significant record. By 2026, the video surveillance market is expected to grow to a value of 69.1 billion dollars, with a CAGR of 10%.

Newer, more comprehensive methods are replacing traditional approaches of video monitoring. Increasingly, video surveillance is evolving with ground-breaking technologies.

There is a wide range of video surveillance software options and also use cases which companies can look at to see how they can benefit from deep learning and AI analytics, biometrics-based access control, real-time monitoring of suspicious personnel, and post-forensic analytics.

Six different methods to employ video surveillance technology

Today, video surveillance systems are employed by 68% of businesses for both security and operational efficiency reasons, which is an effective strategy in terms of security.

Firms should consider the following on how they can employ video surveillance technology to best fulfil their business needs:

1. Incorporate and evaluate smart video analytics

Modern AI-powered CCTV cameras are much more intelligent than their predecessors due to chips implanted in the camera’s visuals. For businesses new to this technology, embedding AI into CCTV cameras can be confusing for them compared to regular video monitoring and surveillance systems.

However, adapting to AI is important as a lot has changed over the past five years in the video surveillance software behind the camera lens. With the arrival of intelligent video surveillance in the market, CCTVs powered by AI and machine learning have the ability to extract meaningful information from video feeds. Now, CCTVs are no longer only passively observing their surroundings, they’ve made it possible to recognise, analyse, and allow people to take action on video streams.

Thanks to sophisticated and adaptable video analytics technologies, people, property, and valuables are being protected in a wide range of circumstances. With video analytics, we can glean valuable information from the footage, and recognise, follow and notify persons of interest (known and suspected criminals, VIPs and workers) in real-time. Live or pre-recorded videos may be analysed with these technologies as well. Data from various sensors can be obtained, then explored, analysed, and displayed.

People entering a location can be identified via facial recognition, even with different lighting, angles, occlusion (when another person obscures a person’s face), and camera quality. Faces can be captured in real-world surroundings even with low bandwidth CCTV cameras. When an illegal entry or a person of interest (POI) is detected, the AI program will immediately warn security personnel, reducing false-positive rates considerably.

With V3’s visual AI’s actionable insights, people, property, and assets are better protected. Real-time video surveillance aids the security teams to swiftly review weeks of video footage to identify suspects and speed up investigations, helping shops capture shoplifters, uncover employee theft, and minimise loss. Security staff are notified in real-time if an infamous criminal is seen in one of its video surveillance systems, enabling them to take immediate action.

2. Minimise risks by detecting suspicious personnel

Persons of interest (POIs) can be identified in real-time with live face recognition using video surveillance and intelligent data analytics, allowing your security team to react quickly to threats while protecting bystander privacy.

VIPs, known offenders, shoplifters, and dangerous criminals are examples of POIs. Knowing who is on your property and within close range at all times allows you to respond quicker, more accurately, and appropriately.

Security and operations teams are required to recognise and manage risks in order to improve safety and customer experience. Because their performance is dependent on precise and quick identification of people, they will greatly benefit from software that automates the detection of people on watchlists and performs in real-world situations. Just relying on the human eye alone is not feasible.

V3’s video analytics solution can identify people of interest in real-time while keeping bystanders’ identities safe. Even when the POI isn’t looking directly at the camera, is within a crowd, or is caught in less-than-ideal surroundings, V3’s software reliably detects in tough situations such as poor lighting.

Users can utilise automated POI alerts to identify POIs and the individuals they’ve met in real-time, using face and attribute recognition. Furthermore, the same approach may be used to identify suspects in criminal investigations through historical footage.

3. Prevent fraud and maintain compliance

Depending on the business, compliance-related difficulties may have a substantial effect on operations if not adequately prepared for and addressed. In casinos, for example, knowing your customers is critical in identifying possible money laundering hazards.

In the healthcare industry, where every institution or organisation that holds Personal Health Information (PHI) (whether physical or digital) must guarantee that their data is safe and confidential, and only authorised individuals are allowed access to it. To follow these regulations, conventional passwords should be replaced with face recognition technology-based access to protect personal data. Putting privacy screens on monitors, access control on doors to sensitive data, and security cameras throughout a building to monitor locations containing PHI are all examples of physical security measures.

Additionally, in the banking industry, face recognition technology that combines clear surveillance footage with transaction data and highly accurate analytics can assist in the detection of fraudulent activity. Video can be used to detect imposters, but it can also guarantee that bank employees are dutifully asking consumers for valid identification.

In our facial recognition software, we provide a feature which obscures the faces of onlookers who have not agreed to be scanned during video playback. We also avoid capturing unneeded data, enabling organisations to select whether or not to record the faces of people who aren’t on their watchlists.

Faces which are not on watchlists will not be shown in the gallery or kept on the server once this functionality is activated. This allows our customers to minimise unnecessary compliance risk by only recording and processing the identifies of people on their watchlists.

4. Increase workplace safety

Besides its use for detecting external risks, video surveillance is also suitable for internal purposes. It’s an excellent tool for keeping workplaces clean and clear of debris, which can help keep employees safe. Potential issues can be identified before they happen with live monitoring and notifications. For example, it is possible to notify security staff if there are spills on the floor to prevent slip and fall incidents at retail businesses.

There are several advantages to using video surveillance over in-person monitoring. You can get non-biased and reliable data on accidents, in-depth analysis, real-time observations, prevent staff from being exposed to hazards, prevent disruptions to job activities, and be able to conduct surveillance for prolonged periods of time. Recorded films may aid in identifying safe practices, creating effective risk management strategies, and improving of training sessions.

Other aspects of safety, such as psychological safety, can also be improved with security cameras. CCTV cameras can be used to capture incidents of employee abuse and harassment. They can also assist in tracking any suspicious activities when guests enter the premises. Moreover, criminals may be hesitant to engage in illegal activity if they are aware that CCTV cameras are in place.

5. Improve security with behaviour recognition

Video surveillance technology can be used to monitor people and property effectively to ensure well-being, safety and security. Object identification (e.g., weapons on school grounds) and behavioural analysis (e.g. suspicious behaviour) are both examples of biometrics technology which help in preventing and investigating accidents and crime.

For example, video surveillance can identify and alert on fall accidents, drowning, and unusual behaviour. Seniors over the age of 65 are particularly vulnerable to falls, with fall accidents being the second biggest cause of death by injuries worldwide.

Therefore, when it comes to ensuring safety, installing security cameras alone is not enough. In most situations, the damage has already been done when a person reviews a security camera video. There are several cases where individuals are assaulted or even murdered with assistance only arriving after it is too late. Smart video surveillance changes this as it detects possible dangers and allows people to prevent incidents before they happen.

6. Using forensics software to solve crimes

Video surveillance technology is a vital tool in post-event investigations. It quickens investigations for law enforcement and public and private security services by allowing them to immediately view and filter large amounts of footage that would otherwise be impossible to do manually.

Most law enforcement organisations, big and small, begin their investigations using video surveillance material. Surveillance technology allows law enforcement personnel to take video from various sources, including cameras and files, and search across them all at once to find valuable information. As a result, investigators can now study footage for clues efficiently even if the odds of the subject being present are slim and if they are starting with minimal leads.

Furthermore, although there are privacy concerns about video surveillance with intelligent video analytics, public opinion is supportive of the technology for certain situations. Most individuals are concerned with the use of face recognition for live mass monitoring without valid reason where there is no danger or risk present. On the other hand, the public is in favour of the police using sophisticated video surveillance for criminal investigations. Most individuals feel that such technology can be useful in detecting the presence of known criminals or terrorists in public places and locating missing persons when time is of the essence.

Improve security with AI-driven video analytics

In conclusion, video surveillance technology is an effective tool for safeguarding the people, places, and things we need to protect. Vision AI-driven software is a powerful addition to any security team, and able to provide quick return on investment for increased efficiency, security, loss prevention, and peace of mind.

To discover more about video surveillance and how biometric software may be incorporated into your current IT infrastructure, please visit https://v3smarttech.com/contact-us.