Weed Detection Camera with Binary Image Processing

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Solution Overview

Problem

Current agricultural machinery lacks a device that can accurately distinguish plants from soil using high-resolution digital photography and selectively apply herbicides or mechanical control, failing to account for speed and image parameters effectively.

Innovation Solution

A device equipped with a high-resolution digital photographic camera (VGA) and a CCD sensor processes images in real-time to differentiate plants from soil, controlling actuators for targeted herbicide application or mechanical intervention, incorporating a fault detection algorithm for operational reliability.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If real-time image processing is implemented to distinguish plants from soil, then measurement precision is improved, but device complexity increases

Engineering Contradiction:
Improveplant detection accuracyVSAvoidsystem complexity
Core Design Contradiction:
Measurement precisionVSDevice complexity

Solution Approach 1:

The image processing is segmented into distinct functional modules: image capture by VGA camera, binary image generation through algorithmic processing, plant tissue detection, and actuator control signals. This modular segmentation allows each component to be optimized independently while maintaining overall system precision without excessive complexity

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

A binary image is introduced as an intermediary representation between the raw image capture and the final plant detection. This binary image simplifies the complex visual data into a processed format that highlights plant tissues, enabling accurate detection while reducing the computational complexity of subsequent processing steps

Inventive Principle:
Principle #24Intermediary (Mediator)

2Measurement precision

If high-resolution digital camera and CCD sensor are used for plant detection, then measurement precision is improved, but use of energy increases

Engineering Contradiction:
Improveimage detection accuracyVSAvoidenergy consumption
Core Design Contradiction:
Measurement precisionVSUse of energy by moving object

Solution Approach 1:

The system uses a VGA resolution camera (standard definition) rather than higher resolution cameras, providing sufficient precision for plant detection while consuming less energy. The binary image processing algorithm processes only essential features rather than every pixel detail, achieving adequate measurement precision with reduced energy expenditure compared to full high-resolution processing

Inventive Principle:
Principle #16Partial or excessive action

3Reliability

If fault detection algorithm is implemented to prevent application failures, then reliability is improved, but device complexity increases

Engineering Contradiction:
Improveoperational reliabilityVSAvoidsystem complexity
Core Design Contradiction:
ReliabilityVSDevice complexity

Solution Approach 1:

A fault detection algorithm continuously monitors system operation and provides feedback about component status. This feedback mechanism detects potential failures in the camera, sensor, or actuator systems before they cause application failures, improving reliability through real-time monitoring without requiring complex redundant systems

Inventive Principle:
Principle #23Feedback

Solution Approach 2:

The system includes self-diagnostic capabilities through the fault detection algorithm that automatically monitors its own components and alerts operators to potential issues. This self-service approach improves reliability by enabling early detection and response to problems without requiring external monitoring systems or complex manual inspection procedures

Inventive Principle:
Principle #25Self-service

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 device achieves precise weed control by generating binary images to guide actuators, ensuring efficient herbicide application and mechanical intervention while preventing application failures due to dirt or component malfunctions, enhancing operational precision and reliability.

Implementation Method 1

through the use of a high resolution digital photographic camera (Vga) associated with an integrated circuit such as a CCD sensor in specific bandwiths of the spectrum, to collect images that are processed identifying points of interest

Methodology Applied
Scientific EffectPhotoelectric Effect: Photoelectric Effect

Data Source

PatentUS11712032B2Device to detect and exercise control over weeds applied on agricultural machinery
Publication Date: 2023.08.01 MILAR AGRO TECH SRL
  • US11712032B2 patent drawing
  • US11712032B2 patent drawing

AI summary

It is a device designed to distinguish plants from agricultural soil (soil background); of the type that a photographic camera uses to proceed with the capture of images and process them in order to perform the detection of weeds, and from it, with the information obtained, to drive an actuator that controls the operation of corresponding media valves that command the work of the sprinklers arranged in the carrier boom of the sprayer, through which it is possible to apply herbicidal products, or exercise a control over them that may be mechanical or chemical.