Sightlogix Launched High-Resolution Thermal AI Cameras
The new NS12 and TC12 thermal cameras use edge processing to expand outdoor perimeter detection area by 2.5 times.
Updated on Oct. 3, 2026 in Artificial Intelligence
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Sightlogix has released the Sightsensor NS12 and TC12 thermal cameras, which feature 1280x1024 resolution imagers. These cameras use onboard AI classification to process video locally without needing a cloud connection.
Why it matters
The cameras allow for the protection of large outdoor perimeters with significantly reduced infrastructure requirements. By shifting to high-resolution edge processing, the system addresses the complexity of deploying wide-area security hardware.
The new cameras utilize 1280x1024 resolution imagers, offering 2.5 times the coverage area of a traditional 640x480 system. Processing power has been upgraded to provide a 20 times increase in AI throughput compared to prior product generations.
The players
Sightlogix
A developer of outdoor perimeter security systems that has leveraged 20 years of engineering experience to design edge-based thermal AI detection hardware.
The details
The NS12 and TC12 cameras are powered by the Gen7 edge processing platform, which utilizes a dedicated AI core to execute detection analysis directly on the device. The TC12 model is capable of simultaneously processing full-resolution thermal video and 4K visible light streams. By performing these tasks on-device, the system eliminates the bandwidth and latency bottlenecks associated with cloud-dependent security architectures.
Timeline
October 3, 2026: Sightlogix introduced the new camera family.
The Tech Race
This development represents a departure from the traditional industry standard of 640x480 resolution thermal imaging. By achieving a 2.5 times increase in coverage, the hardware competes against established multi-camera array deployments that previously required more complex infrastructure to monitor large outdoor spaces.
Security teams managing large outdoor perimeters will be able to cover more ground with fewer hardware installations, reducing total infrastructure costs. The system is designed for direct implementation in high-security settings where local, real-time AI classification is a prerequisite.
The takeaway
The move toward high-resolution, on-device AI processing signifies a move toward more autonomous and efficient perimeter security. Watch for updated technical documentation from the manufacturer regarding power requirements and integration protocols for the Gen7 platform.
Further reading
For more on how edge processing is changing monitoring, see Artificial Intelligence.
Source note: This article includes information reported by SecurityWorldMarket.
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