Optical Phased Array Intruder Detection Automation
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Solution Overview
Problem
Conventional intruder detection methods, such as video monitoring, infrared detection, and acoustic detection, are human-intensive and require significant manual effort to filter out false alarms, lacking automation in detection, classification, tracking, and communication processes.
Innovation Solution
An intruder network system utilizing optical phased arrays with lidar technology for automatic detection, classification, tracking, and communication, featuring a network of nodes with 360-degree coverage, collaborative detection, and obstacle mitigation capabilities, enabling reduced human intervention through automatic processing and communication of intruder information.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Extent of automation
If conventional methods (video, infrared, acoustic detection) are used for intruder detection, then detection coverage is achieved, but human intervention is required for screening false alarms, increasing operational complexity and reducing automation
Solution Approach 1:
The system segments the detection process into multiple independent stages: detection by optical phased array, classification by processing portion, tracking by processing portion, and communication by indicator. Each stage handles specific tasks automatically, eliminating the need for manual false alarm screening while maintaining comprehensive monitoring coverage
Solution Approach 2:
The patent replaces manual human screening operations with an automated optical detection and processing system. The optical phased array transmits and receives optical beams automatically, and the processing portion automatically classifies and tracks detected objects, substituting human mechanical screening operations with automated optical and computational processes
2Productivity
If manual screening of false alarms is performed, then detection accuracy can be maintained through human judgment, but time consumption increases and productivity decreases
Solution Approach 1:
The processing portion performs preliminary classification and analysis of detected objects before final determination. By pre-processing the detection data through automated algorithms that classify objects and track their movement patterns, the system prepares information in advance, enabling rapid response without time-consuming manual screening
Solution Approach 2:
The system performs self-service through automated detection, classification, and tracking functions. The processing portion independently analyzes detected objects, determines whether they represent true intruders or false alarms, and generates appropriate indicators without requiring external human intervention, thereby eliminating time loss associated with manual screening
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
The system effectively detects, classifies, and tracks intruders with reduced human intervention, providing real-time information and automatic communication across the network, enhancing detection efficiency and reducing false alarms, and operates effectively in both daylight and nighttime conditions.
Implementation Method 1
an optical phased array, a detector, a processing portion and an indicator. The optical phased array can transmit a first optical beam to a first location at a first time and can transmit a second optical beam to a second location at a second time
Implementation Method 2
The detector can detect a first reflected beam based on the first optical beam and can detect a second reflected beam based on the second optical beam
Data Source
AI summary
A device for detecting a presence of an object includes an optical phased array, a detector, a processing portion and an indicator. The optical phased array can transmit a first optical beam to a first location at a first time and can transmit a second optical beam to a second location at a second time. The detector can detect a first reflected beam based on the first optical beam and can detect a second reflected beam based on the second optical beam. The processing portion can determine the presence of the object based on the first reflected beam and the second reflected beam. The indicator can generate an indicator signal based on the presence of the object.