AI Detection Unit for Alarm Deterrent Plates Using Street View Imagery
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Solution Overview
Problem
Existing solutions for automatically identifying and mapping alarm deterrent plates rely on dedicated cameras and OCR technology, resulting in complex and costly hardware and software systems that are not hardware agnostic.
Innovation Solution
A cloud-based system utilizing street view imagery data and an AI detection unit with a processing module, training module, and inference module to detect alarm deterrent plates on subject buildings, providing a hardware-agnostic solution.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If dedicated cameras and OCR technology are used to identify alarm deterrent plates, then identification accuracy is improved, but system complexity and implementation costs increase
Solution Approach 1:
The patent replaces the mechanical/optical system of dedicated cameras with a digital/image processing system. The solution uses street view images captured by existing camera systems (like Google Street View) and processes them through software algorithms to detect and identify alarm deterrent plates, eliminating the need for specialized hardware cameras while maintaining identification capability
Solution Approach 2:
The patent uses existing street view imagery data that has already been captured by third-party services, rather than deploying dedicated cameras. This copying approach allows the system to leverage already-available high-quality images from established street view providers, avoiding the need to build a separate image capture infrastructure
2Reliability
If dedicated cameras and OCR technology are deployed, then alarm deterrent plate detection capability is improved, but implementation and maintenance costs increase
Solution Approach 1:
The patent creates a universal system that can process images from multiple sources (different street view providers, various camera angles) using a single AI detection platform. The system is designed to work with generic image inputs rather than requiring specialized camera hardware, making it more cost-effective to implement and maintain while preserving detection reliability
Solution Approach 2:
The patent replaces expensive dedicated camera hardware with software-based image processing of existing street view images. This substitution eliminates hardware procurement, installation, and maintenance costs while relying on freely or低成本 available image data from existing street view services
3Measurement precision
If street view images with 60° field of view are used, then image quality and detection effectiveness are improved, but data processing requirements increase
Solution Approach 1:
The patent optimizes the field of view parameter to 60° for street view images, which provides an optimal balance between capturing enough context and maintaining image quality for detection. This parameter optimization reduces the need for excessive image processing while still achieving effective detection results
Data Source
Figure 1
AI summary
It is the object of the present application, a system for detecting an alarm deterrent plate on a subject building. The system may comprise an AI detection unit (2), including a processing module, a training module (4) and an inference module (5), and a wireless communication network (6) adapted to at least obtain street view imagery data from a street view imagery provider (1). The AI detection unit (2) may further comprise a wireless interface module (8) configured to support download of street view imagery data. Such data is to be processed by the modules (3, 4, 5) in order to detect the presence of an alarm deterrent plate on a subject building being illustrated by the street view imagery data. The system therefore provides an agnostic hardware solution for automatically and assertively identify and map alarm deterrent plates based on street view imagery data.