Nuclear plants, federal government properties, correctional institutions, utilities, industrial facilities, transportation sites, data centers, and other critical-infrastructure locations cannot afford to select perimeter-security technology based solely on a slide deck, a brochure, or the largest range number printed on a datasheet.
The equipment matters.
The system design matters.
The team behind the equipment matters.
That's why the MidChes team recently spent several days with Southwest Microwave’s Jeff Drews reviewing and field-testing the company’s new INTREPID™ LiDAR Series.
The process started in the conference room, where the team reviewed the technology, product specifications, and potential applications. Next, gear was staged and prepped at our Professional Services facility in preparation for our hands-on evaluations the following day. Then the equipment was carried outside, mounted, connected, configured, and tested in a real-world environment.
The team positioned the sensors along a roadway near one of the MidChes offices, installed an IQSIGHT FLEXIDOME 8100i camera to provide a visual reference, created detection zones, and observed how the system responded as people, cars, and trucks moved through the area.
The objective was not merely to confirm that the sensors operated.
The objective was to better understand how the technology should be applied.
A nuclear facility may need to detect a person attempting to crawl through a protected zone while minimizing alarms caused by activity beyond the perimeter.
A correctional institution may need to monitor sterile areas, fence lines, roadways, or locations where activity must be evaluated differently depending on the direction of travel.
A federal government property may need to distinguish between expected vehicle movement and a person entering a restricted area.
Those requirements cannot be reduced to a single range figure.
A datasheet provides essential information, but it does not answer every question that must be addressed when designing a perimeter intrusion detection system:
These questions become particularly important when the protected site has a high consequence of missed detection.
That is why an experienced, hands-on team should evaluate the equipment before recommending how it should be deployed.
The solid-state sensors emit rapid, precisely controlled laser pulses and scan the protected area point by point. The resulting data creates a high-resolution, real-time map of movement and intrusion activity.
Because the system evaluates activity in three-dimensional space and tracks movement over time, it is described as providing 4D detection.
Time is the fourth dimension.
That additional context allows the system to do more than identify that motion occurred somewhere within a general area. It can help locate, track, and classify targets as they move through configured zones.
A person, a vehicle, and another object do not present the same profile. The system can use that information when applying the site’s programmed alarm rules.
That is an important distinction for outdoor perimeter-security applications. A sensor protecting a critical facility may need to operate continuously in demanding conditions with minimal maintenance requirements.
The system also performs detection, tracking, and alarm processing directly at the sensor. This edge-based architecture supports a scalable deployment model while reducing the need to send core detection-processing tasks to a separate server or cloud service.
Additional capabilities include:
These capabilities make INTREPID™ LiDAR adaptable to a wide range of outdoor environments and perimeter-protection requirements.
The INTREPID™ LiDAR Series includes three sensors: Apex, Vector, and Horizon.
The correct sensor is not necessarily the model with the longest range. Each sensor has a different field of view, angular resolution, point density, and application profile.
Southwest Microwave’s published datasheet provides two typical-range figures for each model based on target reflectivity under defined test conditions.
The datasheet also includes a critical qualification: Sensor range depends on target size, zone setup, and detection requirements. That statement should guide the design conversation.
A published range is an important specification. It is not a universal recommendation for every application.
During the MidChes field test, Jeff explained how he approaches range expectations when working with highly secure facilities.
The INTREPID™ LiDAR Horizon has a published typical range of 300 meters for a 70%-reflective Lambertian target under the datasheet conditions. Large, highly reflective targets can be detected at substantial distances.
But a large reflective target is not necessarily the correct benchmark for a high-security perimeter design.
A facility may need to reliably detect a much more difficult target: a person crawling prone on the ground, belly down, with the body parallel to the protected zone.
Jeff described a real-world expectation of approximately 80 meters for that type of crawling-target detection using the long-range Horizon sensor, with walking targets detectable beyond that distance.
That is not a contradiction of the datasheet. It is an example of conservative, application-specific design.
The datasheet defines published sensor performance under specified conditions. The field-test discussion explains how an experienced perimeter-security professional should apply those capabilities when the facility, threat profile, and consequences of missed detection are real.
For a nuclear plant, federal government site, correctional institution, or another high-security facility, the question is not simply: How far can the sensor detect something?
The more useful question is: How far away can the system reliably detect the specific target that matters for this site under the conditions that matter for this application?
The outdoor test area provided a useful mix of real-world activity. People walked through the monitored corridor. Vehicles moved through the parking area and roadway. Cars and trucks traveled through the background.
The team could observe the sensor interface while comparing the digital activity with the camera view of the physical environment.
The objective was not to establish a universal detection distance that should be used at every site.
The objective was to better understand the sensor behavior, the available configuration options, and the commissioning process that should occur before a system is deployed at a customer facility.
One of the most useful demonstrations involved human-versus-vehicle classification.
The team configured zones to generate alarms for human activity while ignoring vehicles.
As a person walked through the monitored corridor, the system detected the target, classified the target as human, and generated the appropriate alarms.
When a vehicle entered the area, the sensor continued to detect and track it. However, the vehicle did not create an unwanted alarm in a zone configured specifically for human detection.
That distinction is important.
The system did not ignore the vehicle because it could not see it. It detected the vehicle, evaluated the target, and applied the programmed alarm rules.
An intelligent perimeter-security system should not simply create more alarms. It should create more useful alarms.
Another portion of the demonstration focused on point-cloud values.
As a person walked farther away from the sensor, the team monitored the number of points being returned from the target. Even near the far end of the test corridor, the target continued to produce enough points to exceed the configured alarm threshold.
As the person walked back toward the sensor, the point values increased.
This information is valuable during system setup because it helps the team determine whether a threshold is appropriate for the intended target and distance.
The demonstration also showed the opposite scenario.
In another zone, the sensor continued to visibly detect and track the person, but the programmed threshold was set too high for the activity to generate an alarm until the person moved closer.
The system could still see the target. The target simply had not exceeded the configured alarm threshold.
That was not a failure of the sensor. It was a useful demonstration of why commissioning matters.
The next step would be to adjust the threshold so the alarm behavior aligns with the security requirement while still reducing unnecessary alarms.
A perimeter intrusion detection system must balance two priorities:
A system that misses meaningful activity creates a security vulnerability.
A system that produces excessive nuisance alarms can reduce operator confidence and make it more difficult to identify the events that matter most.
INTREPID™ LiDAR provides configurable detection and exclusion zones, target classification, directional detection, and adjustable logic that can help align the system with the site’s operational requirements.
“The object detection determined that a human being was a human being, a vehicle was a vehicle, and didn’t alarm on the target when it wasn’t supposed to.”
— Jeff Drews
A person can generate an alarm within a restricted zone while expected vehicle activity remains visible but excluded from the alarm logic.
A roadway can be evaluated differently than a fence line.
A loading area can be configured differently than a sterile zone.
A rooftop, culvert, open area, gate, or elevated structure can each be approached based on its specific requirements.
The technology becomes more valuable when the system is designed and commissioned around the site.
“For us, it’s an investment of time.”
— Brad Castillo
Brad summarized one of the most important lessons from the demonstration:
"Not every customer wants to hear about a technology from someone who has only reviewed the sales materials. Customers want to work with a team that has taken the equipment outside, connected it, configured it, tested it, and learned how it behaves."
That preparation creates a better conversation with consultants, integrators, and end users.
Instead of focusing only on product features, the discussion becomes application-specific:
Those are the questions that lead to a stronger perimeter-security design.
Southwest Microwave’s INTREPID™ LiDAR Series adds a powerful new detection option for perimeter intrusion detection system designs.
Its solid-state architecture, configurable zones, target-classification capabilities, PoE connectivity, edge-based processing, and scalable sensor family make it applicable to a wide range of demanding security environments.
But the technology should not be evaluated solely by reading a list of product features.
Before specifying a perimeter-detection solution,
See the equipment operate.
Bring it outside.
Configure realistic zones.
Test human and vehicle movement.
Evaluate the target profile.
Review the point-cloud data.
Adjust the alarm thresholds.
Discuss the facility’s real security requirements.
Do not settle for a brochure and a verbal promise.
Work with a team that is willing to put the technology to the test.
The MidChes team can help security consultants, integrators, and end users evaluate Southwest Microwave perimeter intrusion detection technologies and determine the appropriate approach for a specific site.
Contact MidChes to schedule an INTREPID™ LiDAR demonstration or discuss an upcoming PIDS application.
Southwest Microwave INTREPID™ LiDAR is a series of solid-state perimeter intrusion detection sensors designed to detect, track, classify, and generate alarms for movement within protected areas. The system uses high-resolution 4D detection, configurable zones, and processing at the sensor.
4D detection means the system maps activity in three-dimensional space and evaluates how a target moves over time. Time is the fourth dimension. This helps the system track and classify activity more intelligently.
Southwest Microwave’s datasheet lists two typical-range values for each sensor based on target reflectivity under defined test conditions.
No. The datasheet states that sensor range depends on target size, zone setup, and detection requirements. The appropriate design distance should be based on the protected site, threat profile, target orientation, environment, and required level of detection performance.
The appropriate design distance depends on the target, orientation, site conditions, zone setup, and detection requirements. During the field-test discussion, Jeff Drews described a real-world expectation of approximately 80 meters for detecting a person crawling prone along the ground using the long-range Horizon sensor in a demanding high-security application, with walking targets detectable beyond that distance.
Yes. INTREPID™ LiDAR supports target classification and configurable alarm logic. The system can detect and track a vehicle while generating alarms only for human activity within a zone configured for human detection.
Alarm thresholds help determine when detected activity should create an alarm. A sensor may continue to detect and track a target without generating an alarm when the threshold is set too high. Thresholds should be tested and tuned during commissioning.
No. INTREPID™ LiDAR uses a solid-state design with no moving parts. This supports continuous operation with minimal maintenance requirements.
INTREPID™ LiDAR supports simplified PoE installation, allowing power and data to travel over a single Ethernet cable. The datasheet also references an optional connector for traditional power setups.
A hands-on demonstration allows the team to test representative targets, evaluate distances, configure detection zones, monitor point-cloud values, adjust alarm thresholds, and validate the alarm logic before deployment.