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Reopening Doors: What Steps Should be Taken to Ensure Safety and Security?

Reopening Doors: What Steps Should be Taken to Ensure Safety and Security?
Tim Raynor
Tim Raynor
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Contact ADT Fire and Security
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Summary is AI-generated, newsdesk-reviewed
  • Retail theft rises; self-checkouts contribute to £1.6 billion lost annually in supermarkets.
  • Thermal recognition and biometric systems enhance post-lockdown security, addressing mask challenges.
  • AI, facial recognition improve store surveillance; boosts market by 14% by 2027.

A total of £1.6 billion worth of goods are reported as ‘lost’ to in-store theft in supermarkets each year, with figures increasing steadily.

The presence of self-checkout systems have increased in supermarkets, as well as other industry retailers. By 2021, we’re globally on track to have 468,000 self-checkout machines in operation, nearly double the 240,000 in existence since 2016. While this increase comes with such benefits as reduced wait times for customers and staff costs, it also comes with a risk of retail theft at self-checkouts. With the circumstances the world now finds itself in i.e. mass unemployment, financial uncertainty, the retail industry has seen an influx in these types of petty crimes, hitting retailers during an already turbulent period.

While retailers are taking precautions to protect themselves and their patrons in this new era of in-person shopping, it’s important to ensure the business itself is protected. A popular method to combat these fears is to employ on-site security personnel, however, as we continue to adapt to new operating guidelines, retailers must begin thinking past the immediate future, and begin implementing long-term security solutions to prepare for life after lockdown such as strong CCTV systems with remote access.

How has the security industry adapted its services to a post-lockdown world?

Technological innovations like thermal recognition are key to adapting security systems for a post-lockdown world. Businesses which previously relied on facial recognition now must update their methods to account for shoppers wearing masks on-site and in-store.

By 2021, we’re globally on track to have 468,000 self-checkout machines in operation, nearly double the 240,000 in existence since 2016

Biometric systems are now able to identify people with face masks, and thermal recognition such ADT’s Thermi-Scan system which can track human body temperature without the need for contact. Implementing these safe protocol procedures protect both employees and customers against virus outbreaks such as COVID-19.

The need for these advances in video surveillance will reportedly increase the biometric facial recognition market by 14 per cent by 2027. Artificial intelligence has been hailed recently as the way forward for remote security needs, and while business-owners continue to navigate procedures of returning to work post-lockdown, having remote access to real-time security monitoring is essential now more than ever.

What are the main measures stores can take to prevent or reduce theft?

Strategically placing a multi-camera surveillance system to ensure clarity, eliminate blind spots, and deter thieves should be top priority. It’s equally essential to invest in a system which has an efficient playback program, particularly in situations where reviewing important footage efficiently can offer vital information to the police force.

Advances in video surveillance will reportedly increase the biometric facial recognition market by 14 per cent by 2027

As business-owners continue operating at reduced hours and with limited on-site staff, being able to access camera footage quickly and remotely is a key factor to consider. Whether owners opt to receive an alert on a mobile device allowing them to review notifications, or if their system is monitored by a remote security center, it’s important to be able to access footage quickly for added efficiency and ease.

Facial recognition and AI have been popular points of discussion in relation to security cameras and CCTV. While careful considerations must be taken prior to utilising any sort of facial recognition technology, including conducting a Privacy Impact Assessment, the benefits include being provided with real-time tracking of repeat offenders which immensely helps the prevention of in-store theft.

Here are some key points to consider when choosing in-store surveillance:

  • Assess your needs – To get the best out of your security system, it is essential to analyze what your requirements are for your business as they might have changed to adapt to a post-lockdown world
  • Camera setup – With store layouts shifting to accommodate social distancing guidelines, it’s important to re-evaluate the current set-up of any security cameras. Depending on any layout updates, it might be important to consider operating multiple cameras in one area to ensure a peripheral view and eliminate any blind spots
  • Camera positioning – For optimal performance, check that light sources are not obstructing your view such as glare from the sun. It is also worth considering the height at which cameras are installed to maximize surveillance
  • Check the focus – It is worth testing camera lenses bi-monthly to ensure that lighting or weather hasn’t affected the focus of the lens, resulting in a blurry visual
  • Remote access – As guidelines continue to evolve, ensure you’re able to access any necessary camera footage quickly and safely in case of emergency

Will we begin to see a reduction of theft as new technology is implemented?

We’re beginning to see incidents of shoplifting and theft being taken more seriously by law enforcement. In the coming months, for the first time in Britain nearly twenty shoplifters who were either caught red-handed or identified on CCTV will be appearing before magistrates. While currently these court cases are being pursued by a private police force, these actions come after a Government plea to high-level police to prosecute shoplifters stealing under £200. Retailers have long voiced concerns that forces have abandoned low-level thefts and these steps are small but show that businesses are being heard.

As innovations in surveillance security continue, we’ll be seeing a move away from human involvement which will create a more reliable and efficient system able to rely on machine learning and analytics. While there have been wider strides made in utilising AI for surveillance, these are largely being used currently by local governments to alert police forces to threats of criminal activity.

It’s not unreasonable to think that in the near future, these types of smart technology will be employed by private businesses to analyze suspicious behavior or possible theft. However, as we see an increase in the advancement of security technology, we anticipate that those inclined to commit in-store theft will adapt their methods, therefore retailers should look to regularly evaluate their security needs to keep risks at bay.

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