SERAGE Launches Premium+ Cameras With Edge AI Processing
The new hardware features a 2.7 TOPS neural unit to enable local person and vehicle classification in real time.
Updated on Oct. 16, 2026 in Artificial Intelligence
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SERAGE has launched its new Premium+ CCTV camera range, which features a dedicated 2.7 TOPS Neural Processing Unit for onboard AI tasks. The camera series integrates a C-Colour Sensor V2 designed to maintain full-colour imaging in low-light environments.
Why it matters
The integration of dedicated edge-processing hardware into surveillance hardware enables real-time analytics without relying on cloud-based compute, accelerating the adoption of local AI inference in security deployments.
The new cameras integrate a 2.7 TOPS (trillion operations per second) Neural Processing Unit to handle concurrent classification tasks. This hardware architecture supports simultaneous detection of people and vehicles alongside localized fire and smoke analysis.
The players
SERAGE
A developer of professional surveillance hardware and security imaging systems focused on edge-based analytical capabilities.
The details
The Premium+ series utilizes the C-Colour Sensor V2, an image sensor paired with an AI Image Signal Processor (ISP) to maintain color fidelity in poor lighting. Security is managed via a Secure Boot mechanism, which executes a cryptographic verification of the firmware during the start-up sequence to prevent the execution of unauthorized or tampered software code.
Timeline
October 16, 2026: SERAGE launched the Premium+ CCTV camera range.
The Tech Race
The move to local NPU-based inference on cameras marks a departure from reliance on cloud-based AI security processing, which currently dominates large-scale enterprise monitoring deployments. By shifting detection to the edge, the industry is racing to minimize latency and reduce bandwidth costs for high-resolution video surveillance.
Security operators can expect real-time detection of people, vehicles, and fire hazards directly on the camera hardware without requiring external server integration. While currently limited to initial detection tasks, users will receive expanded software-defined capabilities through future firmware releases.
The takeaway
The move toward dedicated neural processing in endpoint devices allows for more robust local analytics in remote or bandwidth-constrained environments. Watch for the upcoming firmware deployment, as it will signal the platform's ability to handle complex behavioral analytics like fall detection.
What happens next
Future firmware updates are scheduled to introduce additional AI capabilities, including automated fall detection functionality.
Further reading
For broader trends in hardware-accelerated computer vision, explore the Artificial Intelligence section.
More information
View the complete hardware specifications on the SERAGE official product website.
Source note: This article includes information reported by Professional Security.
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