PRINCETON, N.J., JANUARY 27, 2026 – SightLogix today announced the appointment of Kevin Campbell as Director of Sales for the Western United States, strengthening the organization’s leadership across the perimeter intrusion detection security (PIDS) market. In this role, Campbell will leverage his expertise in geospatial detection systems to solve perimeter challenges for end users, systems integrators, and A&E specifiers.

“Kevin is a proven builder and is known for his hands-on approach to prospecting, disciplined pipeline development, and ability to close sophisticated, multi-stakeholder deals,” said Jim Hahn, Chairman and CEO at SightLogix. “His deep experience in perimeter intrusion detection security market commitment to solving real-world outdoor security challenges will help ensure our customers achieve earlier detection, fewer false alarms, and stronger operational outcomes.”

Campbell brings nearly 30 years of sales experience driving revenue growth for advanced detection systems and security technologies. His background includes various leadership roles where he was responsible for building high-performing territories and channel partner ecosystems across manufacturing, SaaS providers and integrator companies. Throughout his career, Campbell has worked closely with end users, systems integrators, and A&E firms to drive specification, adoption, and long-term customer relationships.

About SightLogix

For twenty years, SightLogix smart thermal cameras have solved outdoor security problems at sites where having the best detection matters. It’s our passion and our mission to deliver highly reliable and easy-to-deploy security systems with edge-based video analytics, Thermal AI nuisance alarm filters, long

In today’s security and infrastructure landscape, a real shift is underway in how perimeter security solutions are evaluated. While end users still desire the latest features and next-generation technology for comprehensive perimeter coverage, just as important is prioritizing solutions that stay operational and within budget. Systems that can self-regulate their “well-being” and avoid additional costs with unscheduled maintenance or site visits reduce staff time spent on troubleshooting. The new standard for perimeter security in critical infrastructure isn’t just about flashy features but reliable, consistent performance that instills customer confidence in both coverage and budget management.

Across all industries, reliability and low maintenance have moved to the top of the priority list in purchasing decisions. Critical systems – such as perimeter security solutions – need to perform and continue to perform without burning through time, money, or staff resources. Every system failure or unsuccessful patch update becomes a problem that ripples throughout multiple departments of an organization: operations, finance, and security. And in this macroeconomic climate, time, money, and staff resources are too valuable to be used frivolously.

According to the Genetec 2026 Global State of Physical Security Report, customers now rank automatic updates, ease of deployment, and simpler maintenance as key benefits in security infrastructure and edge-device adoption. That’s a clear signal: durability, reliability, and simplicity are becoming baseline standards.

This shift is in direct response to the fatigue organizations have felt from prolonged downtime rooted in equipment vulnerability to real-world outdoor conditions which trigger repeated service visits and ongoing maintenance. What’s emerging instead is a new generation of perimeter technologies built to operate with minimal intervention. Their value isn’t just in detecting threats, but in reducing all the friction that once came with keeping those systems healthy and dependable.

This transition is driven by three themes: intelligence at the edge, built-in diagnostics, and true environmental resilience. Every unscheduled maintenance event further strains operating budgets that are already struggling to offset rising operating expenses driven by macroeconomic factors such as labor shortages and inflation. Costly, time-consuming unplanned maintenance activities render security systems ineffective. The more a system is down for maintenance, the more at risk the organization becomes to intrusion.

Industry data shows that field-service labor costs have risen 10% year over year due to technician shortages and inflation, making built-in diagnostics and automatic regulation management features game-changing.

Durability is also being redefined to include lifecycle resilience and external toughness of the hardware: sealed housings, passive thermal designs, and protective internal architectures that shield electronics from real-world exposure. Today’s most innovative perimeter systems are built with adaptive power management that automates the dynamic balance of internal power demands when supply is constrained, allowing the system to remain operational without instability. These are the kinds of details that keep systems stable year after year, even in harsh weather environments.

Beyond physical design, built-in network and diagnostic intelligence contribute to continuous operation, directly reducing downtime, service calls, and overall operating costs. On-device intelligence goes beyond analytics. Many systems are now equipped with advanced internal diagnostics that catch minor issues before they escalate into outages. Intelligent cable monitoring can flag wiring problems that would otherwise go unnoticed until failure, while hardened network components improve resilience to surge events common in outdoor or mission‑critical environments. This is technology that not only performs its function but actively protects itself in the field.

This layer of diagnostic intelligence serves a bigger purpose: it enables a proactive approach to system health. Instead of waiting for things to break, operators are alerted early to potential issues, allowing them to address them before a camera goes completely offline. It’s a subtle but powerful shift. When security teams aren’t burning time reacting to issues, they can focus on the strategic work that truly protects their sites.

Additionally, infrastructure such as poles and communication, is often an overlooked contributor to the cost and complexity of security installations. Traditionally, many systems require multiple poles for multiple cameras (and maybe even miles of cabling) to provide baseline coverage. That’s where things get expensive fast. More poles can mean more permitting, more trenching, and more physical structures that need maintenance.

But smart dual-sensor AI cameras are changing the economics. By combining visible and thermal imaging into a single camera with long-distance detection covering hundreds of meters, systems don’t need as many poles to protect expansive perimeters against threats. In some cases, this approach can reduce deployment costs by 30 to 50 percent. Fewer cameras and supporting infrastructure translate directly to meaningful savings throughout the life of the system, reinforcing the emphasis on simplicity, durability, and long-term reliability.

When the physical footprint is smaller, everything becomes easier. Reducing the number of physical components carries a compounding benefit: less infrastructure to maintain, fewer points of failure, and lower lifetime costs.

Parallel to these improvements is the continued evolution of accuracy. Organizations want systems and technology that reliably distinguish between genuine threats and environmental noise, without requiring complex infrastructure, and that doesn’t surprise them with hidden costs year after year.

With constrained resources and budgets top of mind for organizations, solutions that deliver performance without financial strain will lead the market. Companies designing products with that mindset baked in from day one will outperform competitors. Because at the end of the day, the best perimeter security systems are the ones that reliably detect and alert, stay online, and don’t disrupt resources or budgets. They keep the perimeter protected without becoming another problem to solve.

PRINCETON, N.J., JANUARY 20, 2026 –SightLogix, a leader in AI-powered thermal security for critical infrastructure environments, today announced the successful completion of SightLogix SightSensor thermal intrusion detection systems at a major coal-fired power station in the Mpumalanga area, South Africa.

The installation deploys SightLogix’s advanced thermal detection systems to protect the perimeter of 4.75km around the expansive facility. With its critical role in supporting the nation’s energy infrastructure, the station required a robust and reliable perimeter protection system capable of detecting and deterring intrusions under the most challenging environmental conditions.

“Protecting critical infrastructure is core to what we do,” said Jim Hahn, President at SightLogix. “Our partnership with C3 Shared Services brings a powerful solution to safeguard one of South Africa’s most vital energy sites.”

C3 Shared Services provided project management, local expertise, and system integration support to ensure seamless deployment. Their experience in securing critical national infrastructure played a pivotal role in the success of the installation.

The completion of this project underscores SightLogix’s growing presence in Africa and its commitment to safeguarding critical infrastructure worldwide.

“Collaborating with SightLogix allows us to deliver world-class perimeter protection tailored for South Africa’s most demanding environments,” said Brendon Cowley, Business Development Director, of C3 Shared Services. “The SightLogix technology brings proactive threat detection to one of South Africa’s most critical assets, strengthening security and ensuring long-term resilience.”

About SightLogix

For over 20 years, SightLogix has set the standard for perimeter security, with advanced systems that detect intrusions at long distances, with exceptional accuracy and without false alarms. Engineered for scalability, reliability, and high performance in any environment, our solutions combine edge-based thermal analytics, geospatial intelligence, and Dual-Spectrum AI to ensure outdoor security success.

By combining AI-enabled analytics, thermal imaging and geospatial data, data centers can detect and verify physical threats early — creating a smarter, more resilient perimeter defense.

You Asked. We Answered:
How to Detect Early, Act Fast, and Stay Protected

Protecting the perimeter has never been more complex. Expanding risks, tighter budgets, and challenging outdoor conditions make early, accurate detection harder than ever.

To understand the challenges, we spoke with security professionals across utilities, data centers, energy, and infrastructure — as well as integrators, A&Es, and project directors — to ask what’s working, what isn’t, and what’s needed.

Now, we’re bringing those insights to you.

About the On-Demand Event

Our live panel event is over, but register below to watch an on-demand recording and hear from leaders in AI vision engineering, perimeter system design, and critical infrastructure protection as they explore the real-world challenges of perimeter security — and how today’s advances in edge AI, thermal analytics, and geo-intelligence are helping professionals like you detect earlier, act faster, and stay protected under all conditions.

What You’ll Learn

• Why perimeter protection remains one of the hardest challenges in security.
• How edge-based AI and thermal analytics reduce false alarms and build trust.
• The role of geospatial intelligence in real-time awareness and response.
• How modern systems detect at distance and lower infrastructure costs.
• Lessons from professionals protecting critical sites across industries.

Don’t miss this opportunity to hear real stories, real challenges, and real solutions from the field.

As perimeter security threats grow more complex and unpredictable, the challenge for organizations is to protect critical infrastructure from dangers that evolve faster than the systems designed to stop them. Vast outdoor environments, remote facilities, and staffing resources can increase the complexity of this challenge. Traditional perimeter security solutions that rely on centralized servers or the cloud do not deliver the speed, accuracy, and resilience required to meet today’s risks at the most vulnerable points: in darkness, at a distance, and in all weather conditions.

Organizations won’t find the solutions to these perimeter challenges in a server or the cloud, but at the edge. The next wave of innovation combines edge-based AI processing, advanced thermal analytics, and intelligent diagnostics to create a self-sufficient security ecosystem capable of detecting and responding to threats in real time, even at long ranges, while reducing operational costs and false alarms.

While server-based AI plays a crucial role in security, enabling more sophisticated models, access to a more extended history, and multi-camera views, its strengths are most valuable in shorter-range or non-perimeter applications, such as retail theft detection and behavioral analysis. For perimeter applications, the challenge is simpler but more demanding: detecting a person at a long range in a restricted area. In these conditions, uncompromised image quality from edge processing is what makes detection reliable.

The Rising Complexity of Outdoor Threats

Threats to essential infrastructure are no longer limited to a single type of intrusion or adversary. Airports, utilities, data centers, and transportation hubs face an increasingly diverse range of challenges, including criminal activity, terrorism, theft, and vandalism.

Traditional security setups, such as visible AI cameras, perform well in very specific applications. For example, visible AI cameras perform best in daylight, at very close distances for small areas. But they lack the ability to “see” consistently at night or in bad weather. Thermal imaging, by contrast, detects heat signatures regardless of lighting or visibility, making it the only viable foundation for AI-driven perimeter detection.

Most AI cameras, including many thermal models, utilize centralized processing, such as cloud-based systems, which introduce two challenges: latency and, more critically, for perimeter detection, the loss of image fidelity. Because transmitting raw video to the cloud would require enormous bandwidth, footage must be compressed, and that compression strips away the fine details AI needs to detect at long distances, in darkness, or in harsh weather conditions.

How and why does this happen? A few variables can be blamed, but the most notable culprit is bandwidth limitations. To reduce the burden of transmitting such dense video streams, cloud-reliant cameras compress the footage before sending it, which permanently removes the subtle details needed for accurate detection. At the same time, the process of relaying data to the cloud introduces latency, delaying detection and response, and creating a false sense of security. It’s the digital version of the children’s game “Telephone,” except the message doesn’t just arrive delayed or jumbled—it arrives missing critical pieces altogether. For perimeter security, that stripped-away detail is exactly what determines whether AI detects a person at 200 meters, or mistakes wildlife or blowing debris for an intruder.

Simply put, the “Telephone Game” approach is no longer enough.

Why Edge AI is the Game-Changer

Edge AI solves both challenges by moving the solution’s “brain” from the cloud and into the device itself. Such Thermal AI cameras, specifically designed for perimeter security, analyze raw thermal images inside the camera, eliminating the need for extensive network infrastructure, and mitigating latency due to bandwidth restrictions. Processing the video images within the camera also preserves the full raw thermal data stream, eliminating compression and protecting the subtle variations—such as temperature differences, low-contrast outlines, and distant figures—that are essential for accurate detection in challenging perimeter environments. Security teams can be confident that all details of the video images are processed and analyzed. This shift creates several critical advantages:

• Faster decision-making: Expedited processing means that threats are identified and acted on in real-time, even in remote areas with limited connectivity and during bad weather when the network might be unavailable.
• Lower network demands: By processing data on-site, only essential alerts are sent back to command centers, reducing bandwidth usage.
• Enhanced accuracy: Processing raw, uncompressed thermal video inside the camera preserves the subtle details—tiny temperature differences, low-contrast outlines, distant figures—that make the difference between detecting an intruder in the fog or dismissing it as background noise.
• Resilience: Systems continue to operate effectively even if the broader network or cloud resources are unavailable.

In practical terms, edge AI enables a more responsive and accurate approach to perimeter security, marking a drastic shift from the data relay race and the questionable quality of video image data.

Processing Power That Looks Ahead

Edge AI’s potential hinges on the power of the processors driving these devices. Today’s most advanced systems feature processors on par with those found in premium consumer electronics, complete with dedicated AI cores.

This horsepower supports comprehensive, layered, analytics which can:

• Capture and process fine details to accurately identify small, subtle, or fast-moving intruders before they breach sensitive areas.
• Run multiple analytics simultaneously, such as classification, behavioral analysis, and tracking.
• Facilitate higher frame rates that deliver reliable detection at a distance across a variety of environmental conditions, from darkness to extreme weather.

Perhaps most importantly, this level of processing represents a step change in how organizations evaluate perimeter security solutions. Being able to process video images accurately and quickly differentiate systems and solutions apart from one another. As AI algorithms advance, these systems have the necessary foundation to evolve and incorporate next-gen capabilities without requiring costly hardware overhauls. For organizations facing tightening budgets, this flexibility is crucial.

Fewer False Alarms, Greater Coverage

False alarms are like the plague of the perimeter security industry. Not only do they divert attention and resources away from real threats, but they systemically erode trust. Advanced edged AI analytics drastically reduces false alerts by effectively, quickly and accurately distinguishing environmental activity from an actual intrusion. This is enabled by processing uncompromised, uncompressed raw thermal video data at the edge before any compression strips away detection-critical information.

The benefits compound quickly: fewer false alarms result in more efficient and better-utilized staffing resources, faster response times, and increased trust in the system. Additionally, this innovative technology inherently increases the detection range and allows organizations to cover a larger area with fewer devices, significantly reducing both capital and operational expenses.

From reactive to proactive

The convergence of edge AI and advanced processing represents a fundamental shift in how we think about perimeter security. It moves the industry from the inherent risks of a centralized, cloud-based model to a more confident strategy with edge-based AI. Edge-based AI creates an intelligent layer of defense at the perimeter. Organizations gain:

• Accurate and earlier detection, providing valuable time to act before an incident reaches critical infrastructure.
• Faster, more accurate responses, driven by real-time analytics.
• Consistent protection, even in remote or bandwidth-limited locations.

The future of perimeter security not only prevents theft or vandalism but also safeguards critical assets, ensures safety, and maintains operational continuity in areas where downtime can have far-reaching consequences. The next generation of perimeter security is here, calling on organizations to ask themselves whether they want to be in a data-compromised relay race or a 200-meter sprint when accurately identifying threats.

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This article was written by SightLogix Vice President of Engineering, Babak Shir, and originally appeared in A&S International.

PRINCETON, N.J., September 29, 2025 – SightLogix, a leader in AI-powered thermal security for critical infrastructure environments, today announced the launch of the next platform for its flagship smart thermal AI camera, SightSensor, to meet current and future demands of critical infrastructure security in the most challenging perimeter environments. The new platform combines state-of-the-art hardware, enhanced edge AI performance, and advanced diagnostics to power next-gen thermal imaging and redefine proactive threat detection and response at the perimeter.

Additionally, this new platform debuts an expanded, purpose-built, thermal video AI library that delivers greater classification accuracy for false alarm reduction. Based on the increased processing power and trained on more than 2 million real-world, non-synthetic thermal images, the new platform enables the library to grow and continually improve performance, providing long-term value for customers.

“The new SightSensor platform sets the foundation for where perimeter security is headed. Backed by 98% detection accuracy at distance and proven reliability, SightLogix continues to help security leaders protect critical infrastructure with confidence and measurable ROI,” stated Jim Hahn, CEO and Chairman of SightLogix. “By combining more power, intelligence and resilience in a single device, we are delivering improved performance and redefining what’s possible at the edge with less bandwidth, lower latency, and no dependence on the cloud or servers.”

These advancements strengthen SightLogix’s position as a leading and trusted provider of reliable perimeter protection for vast, high-risk outdoor environments, helping organizations lower costs by covering more area with fewer cameras, fewer false alarms, and faster response times.

Key Features Include:

• Edge AI Performance and Increased AI Throughput: 20x more throughput enables advanced, multi-layered analytics entirely on-device.
  • Industry-first use of this processor for thermal detection at the edge, powering full AI capabilities on-device with no cloud or server needed.
  • Empowers organizations to achieve real-time detection without latency or heavy infrastructure requirements, keeping perimeters secure even in remote or bandwidth-limited locations.
• Processing Power: Powered by a next-generation processor with a dedicated AI core, it delivers advanced analytics for faster detection and early warnings — even against small or fast-moving targets — giving security teams more time to respond.
  • 5x more CPU power to allow complex analytics in parallel—like classification, behavior, and tracking.
  • Resulting in 20% faster thermal frame rate to accurately detect and track fast moving targets.
• Network and Diagnostic Intelligence: Built for harsh, mission-critical environments, it delivers 24/7 reliable coverage with minimal maintenance, reducing downtime, service calls, and overall costs.
  • Hardened network chip for greater surge resistance.
  • Smart cable diagnostics to catch wiring issues early.
  • Adaptive power management that automatically balances window heater use under constrained power conditions.

The new platform is available to order for all SightSensor thermal perimeter cameras.

About SightLogix

For over 20 years, SightLogix has set the standard for perimeter security, with advanced systems that detect intrusions at long distances, with exceptional accuracy and without false alarms. Engineered for scalability, reliability, and high performance in any environment, our solutions combine edge-based thermal analytics, geospatial intelligence, and Dual-Spectrum AI to ensure outdoor security success.

Princeton, NJ, Aug 20, 2025 – SightLogix, a leader in AI-powered thermal security for critical infrastructure environments, today announced the launch of its newly redesigned website delivering a modern, customer-focused experience for security professionals, specifiers, and integration partners.

The new website simplifies how users discover SightLogix solutions with streamlined navigation, clear product information, and quick access to technical resources and partner training. Designed around customer feedback, the site emphasizes early detection, AI-driven accuracy, and simplified deployment—key needs of today’s perimeter security decision-makers.

“This isn’t just a website refresh — it’s a signal of where we’re headed,” states Jim Hahn, Chairman and CEO at SightLogix. “For over 20 years we have listened to our customers and designed technology to best meet their unique needs and requirements. We continuously think how we can best show up for our customers, and that starts at first click on our website.”

The redesign puts the company’s edge-based thermal AI, dual-spectrum detection, geospatial intelligence, and automated tracking capabilities front and center while while also making it easier for customers to access training, support, and design tools to accelerate deployment and ensure success.

Key features of the new site include:

• Streamlined product pages with application highlights to guide solution design
• Dedicated partner resources and training registration to enhance both technical and sales expertise
• A cleaner, faster browsing experience across devices

About SightLogix

For over 20 years, SightLogix has engineered the most advanced thermal detection technology specifically for outdoor perimeter security. Our detection-focused philosophy combines thermal analytics, geospatial intelligence, and AI solutions to provide comprehensive and proactive security for outdoor environments. When your assets are at stake, the details matter—and SightLogix delivers the precision you need.

PRINCETON, N.J., JUNE 30, 2025 – SightLogix, a leader in AI-powered thermal security for critical infrastructure environments, has announced an undisclosed South Florida airport has completed a lifecycle refresh of SightSensor cameras, the core component of the airport’s advanced perimeter security infrastructure.

The perimeter surveillance system from SightLogix leverages advanced thermal cameras with edged-based artificial intelligence capabilities to validate threats, minimizing false alarms by over 90% and reducing monitoring resources, increasing operational efficiency. Cutting-edge SightSensors can detect intrusions at long distances, in complete darkness, and without false alarms—even in challenging Florida environmental conditions including heavy rain and extreme heat and humidity. The durability of the SightSensor camera provides customers a reliable and comprehensive approach for intelligent airport perimeter monitoring.

“The SightLogix solution automates surveillance of the entire perimeter at the airport,” noted Dan Flynn, President of SRI, the system integrator. “The AI-driven thermal cameras provide consistent performance regardless of lighting or weather conditions, which is crucial for airport security, and the system integrates into the existing access control system to leverage previous investments.”

About SightLogix

For over 20 years, SightLogix has set the standard for perimeter security, with advanced systems that detect intrusions at long distances, with exceptional accuracy and without false alarms. Engineered for scalability, reliability, and high performance in any environment, our solutions combine edge-based thermal analytics, geospatial intelligence, and Dual-Spectrum AI to ensure outdoor security success.