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The New Perimeter Concept_TRUEN & LiDAR

2025-11-26

The New Perimeter Concept:

LiDAR integration and AI as an operational response

to advanced threats

The central challenge in managing physical security systems today is not merely detecting threats, but filtering noise and reducing false alarms. Perimeter defense systems, especially those covering large areas in factories, communities, or strategic facilities, chronically suffer from excessive false alerts.

This overload erodes operator alertness, wastes valuable response resources, and can ultimately lead to missing real events. The evolution of threats, ranging from sophisticated intrusions to unmanned tools, requires a shift from sensor-based concepts to an integrative Sensor Fusion approach that delivers a reliable, operationally valuable situational picture.

A new solution from Belltronics implements this concept in practice by combining two complementary technologies: LiDAR‑based spatial detection and AI‑based visual detection. At the core of the solution is an integration between an Israeli LiDAR sensor by Opsys and TRUEN’s advanced AI‑Edge PTZ camera series from Korea. This combination creates a multi‑layered defense system that dramatically reduces false alarms and provides decision‑makers with high confidence needed for force activation and response.

 

 

Opsys LiDAR: Structural Reliability and 3D Spatial Detection

The foundation of the system relies on Opsys’ LiDAR sensor, engineered for maximum durability and reliability. The technology is based on pure solid‑state architecture with no moving parts, an engineering advantage ensuring long life and exceptional resilience against shocks and harsh environmental conditions for more than ten years of operation. For integrators and security managers, this means drastically reduced maintenance needs and continuous long‑term functionality.

 

The LiDAR scans its surroundings using advanced VCSEL and SPAD technologies. This combination enables the creation of a real‑time 3D point cloud, which allows for highly accurate object detection and classification regardless of lighting conditions. In addition, the sensor delivers consistent performance in challenging environments such as direct sunlight, fog, or rain, conditions that significantly limit video‑based systems.

 

Its built‑in computing capability eliminates the need for an external processing unit (Edge Device), reducing power consumption and overall system cost. These advantages allow simple and efficient integration with existing third‑party systems such as VMS (Video Management Systems) and PSIM (Physical Security Information Management) platforms.

 

 

Advantages of Opsys LiDAR:

3D scanning, day/night detection without limitations, operates against sunlight, no moving parts, long lifespan (up to 10 years), standalone unit, built‑in analytics, POE, ONVIF support, and no need for external computers.

 

 

Sensor Fusion Integration: The Operational Advantage

The strength of the solution lies in the integration between the two systems. In an operational scenario, the LiDAR serves as the primary detection sensor. It detects suspicious movement in a defined area, even under poor visual conditions and sends an accurate alert including coordinates to the management system. This alert automatically activates the relevant PTZ camera (Slew-to-Cue) to focus on the target.

 

 

At this stage, AI analytics begins its work: it classifies the object, verifies whether it is a potential threat (e.g., a person vs. an animal), and starts continuous auto‑tracking.

 

This automated process of detection, verification, and tracking provides the control-room operator with a complete, clear, refined picture within seconds. The combination allows for fast, well‑informed decisions relying on the inherent capabilities of Opsys' LiDAR systems working in full integration with TRUEN PTZ cameras or with leading VMS platforms such as Genetec, Milestone, Hanwha, Network Optics, and others.

 

In summary, the integrated solution offers security managers and integrators a perimeter security system that provides a significant operational leap. It reduces human dependence in the initial detection phase, dramatically lowers false alarms, and provides reliable data enabling significantly shorter response times. For organizations seeking to maximize their security capabilities, this is a strategic tool enabling a shift from reactive defense to proactive, data‑driven protection.

 

 

TRUEN Cameras: Edge AI Analytics for False Alarm Reduction

The second layer of the system relies on TRUEN’s TX camera series, equipped with advanced AI processors from Ambarella and, in the latest generation, groundbreaking AI chips from HAILO (Israel), considered among the world leaders. This combination enables advanced analytics to run directly on the camera (Edge AI), without reliance on external servers, achieving high performance with lower cost and energy consumption.

 

This capability reduces the load on the network and recording servers, allowing the system to operate in a more distributed and reliable manner. The AI‑based algorithms provide highly accurate object classification, distinguishing between humans, vehicles, and animals, key to filtering environmental false alarms.

 

Additionally, the cameras offer high‑end technical specifications suitable for professional security applications: up to 8MP resolution, up to 40x optical zoom enabling long‑range identification, and excellent low‑light performance thanks to highly sensitive sensors and IR illumination. They meet strict durability standards (IP66/67, IK10) and fully support ONVIF profiles for broad compatibility and easy integration. H.265 compression enables significant bandwidth and storage savings without compromising image quality.

 

The cameras comply with NDAA restrictions and contain no Chinese components, ensuring full compliance with strict international regulations. They also provide top‑level cybersecurity using advanced protocols including TLS 1.2/1.3 and HTTPS over RTSP, ensuring maximum data protection and preventing cyber risks in critical systems.