A Solution That Tracks Movement Even in Darkness and Blind Spots to Guard the Perimeters of Critical National Infrastructure

Perimeter breaches stem not from missed detection but from late detection. Alerts come after the fence shakes, and night footage takes time to tell a person from an animal. LookOut classifies people and vehicles in 3D, even in darkness, alerting you before they reach the perimeter.

Oct 07, 2026

A Solution That Tracks Movement Even in Darkness and Blind Spots to Guard the Perimeters of Critical National Infrastructure

Contents

Who Is This For?A story for organizations that must guard wide, long perimeters around the clock.The Problem on the Ground Four problems overlap in outer perimeter surveillance.Why Were Existing Methods Insufficient?The root of the problem lies in when each perimeter measure detects and what kind of information it provides.How LookOut Solves It LookOut reads the perimeter zone in 3D using LiDAR sensors and assesses intrusions through the following steps.What Changes In a Nutshell Application Scenarios LookOut's intrusion detection applies to perimeter sections that lighting and personnel struggle to reach.Custom Designs for Demanding Facility Security Environments, LookOut Is With You

Who Is This For?

A story for organizations that must guard wide, long perimeters around the clock.

Operators of energy facilities such as power plants, substations, and oil pipelines
Organizations managing water resource facilities such as water intake stations, water treatment plants, and dams
Entities responsible for perimeter operations at major military sites and critical national infrastructure
Departments in charge of restricted-area security at airports and seaports
Private facilities requiring access control, such as data centers and research facilities
Physical security system integrators and security service companies

Their conditions are similar: the perimeter is long, personnel are limited, and the cost of failure is extremely high.

The Problem on the Ground

Four problems overlap in outer perimeter surveillance.

Security: Most of the perimeter is unlit, and terrain and structures leave blind spots beyond anyone's line of sight.
Cost: Staff cannot be deployed along the entire perimeter at all times, so gaps between patrol cycles have to be accepted.
Technology: When false alarms repeat, the site stops trusting its alarms. Animal movement, swaying trees, and changes in lighting trigger the same alerts as a human intrusion.
Decision-making: With no record of which sections see repeated approach attempts, there is no basis for deciding where to concentrate limited security resources.

Why Were Existing Methods Insufficient?

The root of the problem lies in when each perimeter measure detects and what kind of information it provides.

Patrols and on-site guards leave gaps between cycles, and it is hard to stay focused at night.
Fence vibration sensors respond only after an intruder has touched or climbed the fence. By the time they detect, the intruder is already on the perimeter.
Infrared and thermal cameras produce 2D images, making it difficult to determine an intruder's exact position and approach speed, and they are affected by backlighting and changes in surrounding heat sources.
Microwave and proximity sensors only report that something passed. They cannot tell how many there are or which direction they are heading.
Multi-screen CCTV monitoring requires people to watch many screens at once, so it tends to be used mainly for after-the-fact review.

In short, there was no solution that simultaneously met all four conditions: working without lighting, distinguishing between targets, detecting before the perimeter is reached, and keeping a record.

How LookOut Solves It

LookOut reads the perimeter zone in 3D using LiDAR sensors and assesses intrusions through the following steps.

Detection and classification: People and vehicles are detected and distinguished as separate 3D objects. Because they can be told apart from small animals of different size and shape or from swaying trees, this is the starting point for reducing false alarms.
Trajectory tracking: The 3D coordinates of detected objects are tracked continuously to capture their position, speed, and direction of travel. How many people are moving, and in which direction, is recorded as well.
Virtual perimeters and restricted zones: Perimeter lines and restricted areas are designated as zones in software. Approach zones, perimeter lines, and inner restricted zones can be configured in tiers, and when terrain or facility layouts change, zones can be readjusted without any construction work.
Tiered early warning: Alarms are issued by risk level depending on how far an object has entered. Rather than reporting that the perimeter has been crossed, the system warns first that someone is heading toward it.
Control center integration: Results are sent to monitoring and security systems along with 3D coordinates, so operators can immediately verify the location and respond.
Accumulation and analysis: Detection events are accumulated by time and zone and delivered through a dashboard. Vulnerable sections with repeated approaches are revealed through data.
De-identification: Because the system uses 3D coordinate data rather than raw video, it detects movement without identifying faces.

No lighting required, targets distinguished, detection before the perimeter, and a full record. LookOut meets all four conditions above at once.

What Changes

When the timing of detection and the type of information change, the structure of perimeter operations changes.

Because LiDAR measures distance by emitting its own signal, it is unaffected by lighting and works the same in unlit areas at night.
Alarms are triggered at the approach stage, securing more time for response.
Target-aware assessment reduces false alarms, helping maintain an operation that trusts its alarms.
The role of control room staff shifts from watching screens to making decisions in response to alarms.
Because perimeter zones are configured in software, the system can adapt immediately to facility changes or new construction areas.
Accumulated approach event data allows security staff and patrol resources to be concentrated on vulnerable sections.
Because neighboring civilian areas and on-site workers are not identified through video, perimeter data is secured while reducing privacy concerns.

💡

In a Nutshell

Tracking movement even in darkness and blind spots to make the perimeters of critical national infrastructure intelligent.

Application Scenarios

LookOut's intrusion detection applies to perimeter sections that lighting and personnel struggle to reach.

Energy facilities: Areas around substation equipment and storage tanks, and unlit outer fence sections
Water resource facilities: Access-controlled areas of water intake stations and treatment plants, and waterside perimeters
Military sites and critical national infrastructure: Outer perimeters of large sites and blind spots created by terrain
Airport and seaport restricted areas: Unauthorized approach routes toward runways and piers
Data centers and research facilities: Outer perimeters and access-controlled areas during unmanned nighttime operations

Custom Designs for Demanding Facility Security Environments, LookOut Is With You

If you need a detailed brochure on LiDAR-based intrusion detection tailored to your facility's perimeter layout, please submit a request through the "Request a Custom Consultation" form. Tell us about your perimeter length, terrain conditions, and existing security system setup, and we will propose a sensor placement plan along with a zone configuration approach.

Contents

Use Case

A Solution That Tracks Movement Even in Darkness and Blind Spots to Guard the Perimeters of Critical National Infrastructure

Oct 07, 2026

Contents

Who Is This For?

A story for organizations that must guard wide, long perimeters around the clock.

Operators of energy facilities such as power plants, substations, and oil pipelines
Organizations managing water resource facilities such as water intake stations, water treatment plants, and dams
Entities responsible for perimeter operations at major military sites and critical national infrastructure
Departments in charge of restricted-area security at airports and seaports
Private facilities requiring access control, such as data centers and research facilities
Physical security system integrators and security service companies

Their conditions are similar: the perimeter is long, personnel are limited, and the cost of failure is extremely high.

The Problem on the Ground

Four problems overlap in outer perimeter surveillance.

Security: Most of the perimeter is unlit, and terrain and structures leave blind spots beyond anyone's line of sight.
Cost: Staff cannot be deployed along the entire perimeter at all times, so gaps between patrol cycles have to be accepted.
Technology: When false alarms repeat, the site stops trusting its alarms. Animal movement, swaying trees, and changes in lighting trigger the same alerts as a human intrusion.
Decision-making: With no record of which sections see repeated approach attempts, there is no basis for deciding where to concentrate limited security resources.

Why Were Existing Methods Insufficient?

The root of the problem lies in when each perimeter measure detects and what kind of information it provides.

Patrols and on-site guards leave gaps between cycles, and it is hard to stay focused at night.
Fence vibration sensors respond only after an intruder has touched or climbed the fence. By the time they detect, the intruder is already on the perimeter.
Infrared and thermal cameras produce 2D images, making it difficult to determine an intruder's exact position and approach speed, and they are affected by backlighting and changes in surrounding heat sources.
Microwave and proximity sensors only report that something passed. They cannot tell how many there are or which direction they are heading.
Multi-screen CCTV monitoring requires people to watch many screens at once, so it tends to be used mainly for after-the-fact review.

In short, there was no solution that simultaneously met all four conditions: working without lighting, distinguishing between targets, detecting before the perimeter is reached, and keeping a record.

How LookOut Solves It

LookOut reads the perimeter zone in 3D using LiDAR sensors and assesses intrusions through the following steps.

Detection and classification: People and vehicles are detected and distinguished as separate 3D objects. Because they can be told apart from small animals of different size and shape or from swaying trees, this is the starting point for reducing false alarms.
Trajectory tracking: The 3D coordinates of detected objects are tracked continuously to capture their position, speed, and direction of travel. How many people are moving, and in which direction, is recorded as well.
Virtual perimeters and restricted zones: Perimeter lines and restricted areas are designated as zones in software. Approach zones, perimeter lines, and inner restricted zones can be configured in tiers, and when terrain or facility layouts change, zones can be readjusted without any construction work.
Tiered early warning: Alarms are issued by risk level depending on how far an object has entered. Rather than reporting that the perimeter has been crossed, the system warns first that someone is heading toward it.
Control center integration: Results are sent to monitoring and security systems along with 3D coordinates, so operators can immediately verify the location and respond.
Accumulation and analysis: Detection events are accumulated by time and zone and delivered through a dashboard. Vulnerable sections with repeated approaches are revealed through data.
De-identification: Because the system uses 3D coordinate data rather than raw video, it detects movement without identifying faces.

No lighting required, targets distinguished, detection before the perimeter, and a full record. LookOut meets all four conditions above at once.

What Changes

When the timing of detection and the type of information change, the structure of perimeter operations changes.

Because LiDAR measures distance by emitting its own signal, it is unaffected by lighting and works the same in unlit areas at night.
Alarms are triggered at the approach stage, securing more time for response.
Target-aware assessment reduces false alarms, helping maintain an operation that trusts its alarms.
The role of control room staff shifts from watching screens to making decisions in response to alarms.
Because perimeter zones are configured in software, the system can adapt immediately to facility changes or new construction areas.
Accumulated approach event data allows security staff and patrol resources to be concentrated on vulnerable sections.
Because neighboring civilian areas and on-site workers are not identified through video, perimeter data is secured while reducing privacy concerns.

💡

In a Nutshell

Tracking movement even in darkness and blind spots to make the perimeters of critical national infrastructure intelligent.

Application Scenarios

LookOut's intrusion detection applies to perimeter sections that lighting and personnel struggle to reach.

Energy facilities: Areas around substation equipment and storage tanks, and unlit outer fence sections
Water resource facilities: Access-controlled areas of water intake stations and treatment plants, and waterside perimeters
Military sites and critical national infrastructure: Outer perimeters of large sites and blind spots created by terrain
Airport and seaport restricted areas: Unauthorized approach routes toward runways and piers
Data centers and research facilities: Outer perimeters and access-controlled areas during unmanned nighttime operations

Custom Designs for Demanding Facility Security Environments, LookOut Is With You

Contents