Latest Trends and Innovations in Perimeter Security Market

With heightened concerns for security around buildings, data centers, military compounds, national borders and more, perimeter intrusion detection is a priority for government agencies and corporations around the world.

This sense of urgency around perimeter intrusion security spurs industry growth. The global perimeter security market size is expected to reach U.S. $132 billion by 2030. The market is anticipated to show an annual growth rate (CAGR 2023 – 2030) of 9.4%, according to Grand View Research, Inc.

Check out our new white paper, “Robust Monitoring and Protection for Property, Facilities and Buildings,” to:

  • Understand the vital importance of perimeter security for government, military and businesses alike.
  • Discover the global trends in the perimeter security market.
  • Get details on innovations for real-time situational awareness.
  • Explore advanced solutions to classify, locate and deploy resources in dealing with multiple types of intrusions.

Plus, get details on our ground-breaking NEC Intelligent Perimeter Intrusion Detection System (IPIDS), with the highest probability of detection and lowest nuisance alarm rate over the longest distances and widest range of field conditions.

Grab our White Paper

To learn more about IPIDS and other innovations in access management, automated recognition and identity intelligence, visit NEC National Security Systems at NECNSS.com.

Four Pillars of Digital Government Identity Solutions

As consumers, business professionals, government, military and law enforcement personnel require convenient and fast digital access to services, there’s a greater sense of urgency to ensure safety and security.

NEC is committed to investing in global digital government technologies to solve real-world problems.

Watch the video describing our four pillars of digital government identity solutions:

  1. Safety – solutions for law enforcement, justice and corrections
  2. Security – de-centralized digital identity, identity verification and fraud prevention, applicant background checks, access and border control
  3. Efficiency
  4. Quality

Through our partnership with Microsoft, we are bringing our products and services to the cloud, making them readily available and accessible to clients, along with law enforcement agencies around the world.

With more than 50 years of innovation in biometrics technologies, NEC invests $2+ billion annually in research and development. We hold more than 47,000 patents, while harnessing our 10 research labs across the world with a goal of continuous innovation.

Learn more about our digital government solutions by visiting www.necam.com/stateandlocal. Or connect with an NEC expert directly by filling out the form below.

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The Frontier of Digital Security: Combating Deepfakes with NEC’s Advanced Biometric Authentication 

In the ever-evolving digital landscape, the surge of deepfakes poses a formidable challenge. These hyper-realistic forgeries, crafted using innovative AI, are a testament to technological advancement and a significant threat to digital security and trust. However, with challenge comes opportunity, and NEC Corporation, a global leader in IT and network technology, is at the forefront of this battle, leveraging its advanced biometric authentication technologies.

Understanding Deepfakes: A Digital Phenomenon

Deepfakes represent a fascinating yet alarming phenomenon in the digital age, a testament to the staggering advancements in artificial intelligence (AI) and machine learning. These AI-generated fabrications, encompassing images, videos, and audio recordings, can create strikingly realistic representations of real people saying or doing things they never did. The term ‘deepfake’ is a portmanteau of ‘deep learning’ and ‘fake’, and these creations spearhead a new era in digital content creation – one that poses significant challenges to information integrity, personal privacy, and security.

  • The Birth and Evolution of Deepfakes – The origins of deepfakes trace back to the world of academic research, where deep learning algorithms, especially Generative Adversarial Networks (GANs), were developed. GANs use two neural networks in tandem – one to generate content and the other to critique it. This process continues until the generated content is indistinguishable from real data. While the initial applications were academic, the technology soon found its way into more accessible platforms, leading to the rise of deepfakes as we know them today.
  • Deep Learning Behind the Scenes – At the core of deepfakes is deep learning, a subset of machine learning where neural networks – algorithms inspired by the human brain – learn from substantial amounts of data. In the context of deepfakes, these neural networks analyze thousands of facial images or voice samples to recognize and replicate patterns. They can alter facial expressions, lip movements, and even voice intonations, creating a digital impersonation that can be eerily accurate.
  • The Rising Sophistication of Deepfakes – As AI technology has advanced, so has the sophistication of deepfakes. Early deepfakes were often easy to spot due to their low resolution and visible artifacts. However, recent advancements have led to high-definition deepfakes that are increasingly challenging to distinguish from real footage. This level of realism is not only a technical achievement but also a significant concern, as it blurs the lines between reality and fabrication.
  • Ethical and Security Implications – Deepfakes have stirred significant ethical and security concerns. They can be used maliciously, such as creating fake news, manipulating stock markets, or impersonating public figures. Deepfakes also pose a threat to personal privacy and consent, as individuals’ likenesses can be used without their permission. These issues highlight the need for robust detection and verification technologies.

The Challenge of Detection

Detecting deepfakes is a cat-and-mouse game. As deepfake technology evolves, so must the methods to detect them. Traditional detection methods focus on inconsistencies in images or videos, such as irregular blinking patterns or unnatural head movements. However, as deepfakes become more advanced, detection techniques must also evolve, employing more sophisticated AI algorithms to discern subtle anomalies.

NEC’s Biometric Solutions: A Shield Against Deepfakes

NEC’s approach in tackling deepfakes is multifaceted, combining facial recognition, liveness detection, iris detection, and voice recognition. This integrated solution ensures a comprehensive defense against the risks posed by deepfakes.

  • Facial Recognition – NEC’s facial recognition technology stands out for its speed and accuracy. Recognized globally for its advanced algorithms, NEC’s facial recognition system can differentiate between genuine human features and those artificially generated by deepfake technology. This ability is critical in verifying identities in various sectors, from finance to social media. More on NEC’s facial recognition can be found on its global website.
  • Liveliness Detection – Liveness detection adds an essential layer to security protocols. By analyzing micro-expressions, eye movements, and other subtle facial dynamics, NEC’s technology can distinguish a live person from a digital impersonation. This feature is particularly crucial in real-time scenarios, such as online banking or virtual meetings.
  • Iris Detection – Iris detection, with its unique muscle patterns for each individual, age resistance, and top-class precision offers greater levels of accuracy and security. NEC’s iris recognition systems are highly sophisticated, providing accurate identification which is almost impossible to replicate using deepfake technology.
  • Voice Recognition – Complementing visual biometrics, NEC’s voice recognition technology analyzes speech patterns, tone, and other unique characteristics. This ensures that even if a deepfake video seems visually convincing, discrepancies in the audio can be detected, further safeguarding against fraud.

Applications Across Industries

NEC’s biometric solutions have broad applications across various industries:

  • Social Media Platforms: NEC’s Digital ID for social media enhances platform security by verifying user identities during creation, and at subsequent usage, thus preventing unauthorized account access and fake profile creations. Find more about this on NEC’s website.
  • Financial Sector: In FinTech, NEC’s Digital ID solutions, as elaborated on NEC’s FinTech page, play a crucial role in secure banking transactions, credit card fraud prevention, and regulatory compliance with KYC (Know Your Customer) norms.
  • Travel Industry: As detailed in the Travel sector solutions, NEC’s facial recognition biometrics enhance passenger experience and security in cruise ships and high-speed train travel.
  • Access Control in Secure Environments: NEC provides biometric access control systems for data centers, government buildings, and other sensitive areas, ensuring high-security levels and efficient personnel management. More details are available on them visit the Access Control page.

Conclusion: Embracing a Secure Digital Future

The digital world is a constant battle between innovation and security. Deepfakes represent a significant challenge in this regard, but with companies like NEC leading the charge with their innovative biometric solutions, there is a strong defense against these digital deceptions. NEC’s commitment to innovation, as seen in their continual R&D investments and adherence to global standards, makes their solutions not just a response to current threats but a preparation for future challenges.

In a world where digital security is paramount, NEC stands as a beacon of trust and innovation. By integrating advanced biometric technologies, NEC is not just combating deepfakes but is also paving the way for a safer, more secure digital future.

Make 2024 The Year You Commit To A Better Customer Experience With These Best Practices

As the new year gets underway, everyone is setting goals – both individually and as an organization. One area that businesses should think long and hard about is customer experience. 52% of customers would switch to a company’s competitor after just one bad experience. There’s no calculating the value of making a good first impression – and following through on it. A cloud-hosted business intelligence solution – like UNIVERGE BLUE ENGAGE – can provide a tremendous amount of insight into how a business communicates with its customers and turns those insights in action for managers and frontline employees.

Here are several best practices to follow if you want to transform your customer experience in 2024:

Use Sentiment Analysis To Better Understand How Your Customers Are Feeling

Every customer interaction presents an opportunity to understand how they feel about your business. If you want your customers to keep coming back – and bring new ones with them via referrals – then it’s critical to know when they’re excited about a new purchase or frustrated by recent poor service so you can address them accordingly. Your customer experience has implications for all aspects of your business, which is why you need a solution that has some form of sentiment analysis included. With sentiment analysis, you can help improve your entire organization:

Support – Customer support managers can input key phrases such as “cancel”. If it finds that key phrase, supervisors can establish rules that will assign the recorded conversation to a manager to see how front-line users handle the situation and can use that evaluator tool to give feedback.

Product – Product teams can input keywords or phrases, such as “broken” and “missing”. If the system finds those specific keywords, supervisors will be assigned to review the recording for further evaluation to identify opportunities for improvements, new products, or features.

Sales – Sales managers can search negative and positive conversations to identify best practices and coaching opportunities.

Marketing – Marketing can look at positive conversations to identify customers who could give a good review or testimonial.

Keep Your Frontline Employees Happy With Advanced Analytics and Reporting

It’s not just your customers you need to pay attention to. The old cliché still holds true today: good help is hard to find! Salesforce found that 65% of mobile workers feel the weight of customer expectations and 82% struggle to balance speed with quality of service. Employees want to know how they’re performing and what areas they need to improve upon. You need to be able to provide them with high quality performance data and analytics. The business intelligence solution you use should be able to clearly indicate these metrics – preferably in an intuitive, user friendly dashboard for individuals and the entire organization as a whole:

  • Time spent on customer service calls
  • Number of calls transferred
  • Number of calls handled
  • Average talk times
  • Abandoned calls

All of this information allows you to identify your strongest and weakest employees and reward or coach them accordingly. It also tells you whether shortcomings – or successes! – are happening on an individual basis or if the trends are occurring across the entire organization.

Generative AI Can Help Employees Save Time And Keep Customers Happy

If your organization wants to commit to providing superior customer experience, it needs to be able to record and retain notes on each customer interaction. Typically, this is done manually by frontline employees but new advances in Generative Artificial Intelligence (AI) allow these notes to be automatically transcribed in interaction summaries and saved for future use. This has incredible benefits for your business:

Better than manual call notes – The summary of the call is automatically generated, creating a timely and accurate account of the interaction saving the frontline user time and increasing accuracy.

Faster call answering – Completing call notes can take 5 to 10 minutes depending on the length and complexity of a customer interaction, but an automatically created summary of the interaction allows frontline employees to assist the next caller even faster.

Better coaching and training – Accurate, timely and summarized call notes allow supervisors more time for coaching without needing to sift through long call recording or call transcriptions.

Happier customers – Caller experience improves when frontline employees already know what was discussed the last time they called. A summary of the last interaction is presented to the frontline user along with the incoming call to help them engage deeper with the customer and solve their issue quicker.

A solution like UNIVERGE BLUE ENGAGE that combines sentiment analysis, analytics and reporting dashboards, and AI-generated interaction summaries is the perfect tool to help your business take its customer experience to the next level in 2024. You’ll know exactly how your customers are feeling – and how to approach them – and your employees will be grateful for the chance to perform better so the entire organization benefits.

If you are looking for a way to significantly improve your customer experience this year, consider switching to UNIVERGE BLUE. Contact one of our representatives today for more information!