Automated Offending Object Removal via Image Recognition
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Solution Overview
Problem
The proliferation of insects and other offending objects in food and home environments, as well as in orchards and crops, leads to crop damage and decreased yields, while existing pesticides are less effective and pose environmental concerns.
Innovation Solution
A computer image analysis system equipped with a processor, induction heat source, and action arm that captures images of substrates, identifies offending objects, and takes action to remove or destroy them, including using a drone for wide-area scanning and mitigation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If pesticides are used to control insects and offending objects, then crop protection is improved, but environmental harm increases and effectiveness decreases over time
Solution Approach 1:
The patent replaces chemical pesticides with an automated image recognition and physical removal system. The system uses cameras to detect offending objects (insects, mold, weeds), processes images to identify targets, and deploys mechanical or thermal action heads to remove them, eliminating the need for harmful chemical substances.
Solution Approach 2:
The system enables autonomous detection and removal of offending objects without human intervention. The image recognition system automatically identifies targets and the action head executes removal operations, allowing the agricultural system to self-regulate and protect crops without external chemical inputs.
2Object-affected harmful factors
If manual inspection and removal of offending objects is performed, then environmental harm is reduced, but labor intensity and time consumption increase
Solution Approach 1:
The patent replaces manual visual inspection with automated image capture and processing systems. Cameras mounted on platforms (drones, vehicles, or stationary structures) capture images of crops, and computer vision algorithms automatically identify and locate offending objects, eliminating the time-consuming manual survey process.
Solution Approach 2:
The system integrates multiple functions into a single automated platform: image capture, image processing, object identification, location determination, and coordinated action head deployment. This multi-functional approach handles both detection and removal operations that would otherwise require separate manual tasks.
3Area of stationary object
If widespread pesticide application is used, then coverage of offending objects is improved, but specificity and precision of target removal decrease
Solution Approach 1:
The system transitions from uniform widespread pesticide application to localized precision removal. The image recognition system identifies specific locations of offending objects, and action heads are directed to exact coordinates to remove only the targeted objects (specific insects, mold spots, or weeds) while leaving the rest of the crop unaffected.
Solution Approach 2:
The patent replaces non-specific chemical broadcasting with targeted mechanical or thermal removal systems. The automated system uses cameras and image processing to pinpoint exact locations of offending objects, then deploys localized action (such as targeted spraying, mechanical removal, or thermal treatment) only at those coordinates, achieving both precision and effective coverage.
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
Effectively detects and addresses offending objects, such as insects and explosives, through image recognition and action operations, enhancing crop protection and safety without the need for widespread pesticide use.
Implementation Method 1
The induction heat source is configured to emit radiation to heat a metallic component of an explosive device by way of induction
Implementation Method 2
The induction heat source is configured to emit radiation to heat a metallic component of an explosive device by way of induction
Implementation Method 3
a temperature sensor in communication with the processor that is configured to detect heat emitted from the metallic component of the explosive device
Data Source
AI summary
A mold remediation system includes a processor and an electromagnetic radiation source in communication with the processor. The electromagnetic radiation source is configured to emit radiation to heat a ferromagnetic material in or adjacent to a wall board upon which mold is located. The system also includes a temperature sensor in communication with the processor. The temperature sensor is configured to detect a temperature of the wall board. The processor is configured to compare the temperature of the wall board to a desired temperature to perform mold remediation.