Key Application Scenarios: Safety and Security Applications

(Applicable to: Anti-Unintended Lifting Detection, Perimeter Security)  

Application Requirements:  

Anti-Unintended Lifting Detection: During crane lifting operations (especially with grabs or electromagnetic chucks), it is essential to ensure no personnel or unintended objects are accidentally卷入 (entangled) or attached to the lifting device and lifted together. This requires detecting whether abnormal objects or personnel exist near the lifting device (particularly below or inside) before or at the moment of lifting.  

Perimeter Security and Intrusion Detection: Monitor restricted areas, fence boundaries, or key passages in ports, storage yards, mining areas, etc., to promptly detect unauthorized entry of personnel, vehicles, or other moving objects and ensure regional security.  

Typical Deployment and Architecture:  

Anti-Unintended Lifting: Sensors are typically installed above or near the lifting device (e.g., grab), scanning the lower and surrounding areas. High resolution is required to detect potentially small targets.  

Perimeter Security: Sensors are installed at high points (e.g., light poles, buildings) or along perimeters, overlooking the monitored area. The system processes point cloud data through algorithms to achieve target detection, classification (human, vehicle, animal, etc.), tracking, and trajectory analysis, triggering alarms when suspicious behaviors (e.g., boundary crossing, loitering) are detected.  

Traditional Solutions and Pain Points:  

Visual/Thermal Imaging Cameras: Visual cameras are highly affected by lighting and weather, with poor nighttime performance; thermal imaging cameras are unaffected by lighting but degrade in certain weather conditions (e.g., rain), struggle to distinguish objects with similar temperatures, and suffer from thermal afterimages and low resolution. Both pose privacy risks²⁴ and may generate false alarms due to animals or floating objects.  

Radar: Low resolution makes it difficult to accurately identify target types (e.g., distinguish humans from animals or vehicles), especially in complex backgrounds.  

Traditional Perimeter Sensors (e.g., Infrared Beams, Vibration Cables, PIR): Only detect boundary crossings without providing intrusion target location, quantity, type, or trajectory information. They are easily disturbed by environmental factors (e.g., wind, small animals), leading to false alarms.  

2D LiDAR: Monitors only a single horizontal or vertical plane, vulnerable to evasion by intruders crossing over the top or crawling below. Requires extensive sensor deployment for limited volume coverage, resulting in high costs and blind spots.  

Performance Requirements:  

- High resolution to detect small targets;  

- Reliable operation in all weather and lighting conditions;  

- Wide coverage;  

- Low false alarm rate;  

- Capability for target classification to reduce invalid alarms.  

Ouster 3D Digital LiDAR Alternative Benefits:  

3D Spatial Coverage: Ouster LiDAR provides dense 3D point cloud data, enabling死角-free (blind spot-free) monitoring of entire volumes and effectively preventing evasion tactics against 2D planar sensors. The wide field of view of OS0 or OSDome is particularly suitable for area monitoring.  

High-Resolution Detection: With vertical resolutions up to 4096×128 lines and high point density, it can detect small targets (e.g., personnel) at long distances, critical for both anti-lifting detection and perimeter security.  

All-Weather Reliability: Unaffected by lighting changes and maintains stable performance in harsh weather (rain, snow, fog, dust), far outperforming cameras.  

Target Classification Potential: Rich 3D point cloud data provides a foundation for advanced perception algorithms, enabling more accurate differentiation between target types (e.g., humans, vehicles, animals), significantly reducing false alarms. Ouster’s Gemini platform or third-party software can implement such functions.  

Privacy Protection: LiDAR captures geometric shapes and positional information without involving biometric features like facial recognition, inherently offering privacy protection advantages suitable for privacy-sensitive area monitoring.  

On-Chip Zone Monitoring (REV7): Built-in 3D Zone Monitoring functionality allows setting simple intrusion detection rules directly on the sensor, simplifying system deployment.  

Integrated Case Analysis:  

Perimeter Security for Ports/Storage Yards: Perimeter security in large open ports or storage yards faces challenges: traditional cameras are environment-sensitive and raise privacy concerns, while 2D LiDAR offers incomplete coverage. It is recommended to deploy Ouster OS1, OS2, or OSDome REV7 sensors. Their all-weather, wide-range, 3D spatial coverage—combined with target detection and classification algorithms—effectively enhances security levels, reduces false alarms, and protects privacy. Ouster’s application cases in smart cities and intelligent infrastructure further validate its suitability for such scenarios.