POULTRY FARM MONITORING SYSTEM FOR DEAD CHICKEN USING IMAGE PROCESSING

Abstract

This invention provides a poultry farm monitoring system that automates dead chicken detection using image processing and real-time monitoring. The system identifies deceased birds based on movement and posture, sending immediate alerts to farm operators for quick removal. Designed for scalability, it offers a low-cost, labor-efficient solution for maintaining poultry health and farm productivity.

Specification

Description:FIELD OF THE INVENTION
This invention relates to agricultural technology and poultry management, focusing on an automated image-processing system for detecting deceased chickens in poultry farms. Utilizing advanced image recognition and real-time monitoring, the invention aims to improve farm efficiency and animal health by identifying dead chickens swiftly and accurately, preventing disease spread, and minimizing human labor.
BACKGROUND OF THE INVENTION
Large-scale poultry farms face significant challenges in managing and maintaining animal health, as detecting dead chickens manually can be time-consuming, labor-intensive, and prone to errors. Delays in removing deceased birds lead to increased risks of disease outbreaks, contamination, and adverse effects on flock health. Traditional methods rely heavily on manual inspections, which are inefficient and limited by human error. This invention introduces an automated monitoring system using image processing to address these challenges, enabling continuous surveillance and immediate identification of dead chickens. By leveraging camera-based monitoring and machine learning algorithms, this system reduces labor, enhances flock health, and supports the productivity of poultry operations. Unlike existing technologies that do not provide targeted detection of deceased poultry, this invention fills a vital gap, offering poultry farmers a real-time, cost-effective solution that prioritizes animal welfare and operational efficiency.
SUMMARY OF THE INVENTION
This summary is provided to introduce a selection of concepts, in a simplified format, that are further described in the detailed description of the invention.
This summary is neither intended to identify key or essential inventive concepts of the invention and nor is it intended for determining the scope of the invention.
To further clarify advantages and features of the present invention, a more particular description of the invention will be rendered by reference to specific embodiments thereof, which is illustrated in the appended drawings. It is appreciated that these drawings depict only typical embodiments of the invention and are therefore not to be considered limiting of its scope. The invention will be described and explained with additional specificity and detail with the accompanying drawings.
The invention provides a poultry farm monitoring system that automates the detection of dead chickens using image processing technology. Equipped with high-resolution cameras, image processing algorithms, and motion analysis tools, the system identifies deceased chickens based on visual cues such as lack of movement and characteristic postures. The monitoring system sends real-time alerts to farm operators, providing precise location information for quick removal of deceased birds, thereby preventing health risks. Designed for easy scalability, this system is suitable for farms of varying sizes, offering a low-maintenance, efficient, and cost-effective solution that integrates seamlessly with existing farm operations.
DETAILED DESCRIPTION OF THE INVENTION
The detailed description of various exemplary embodiments of the disclosure is described herein with reference to the accompanying drawings. It should be noted that the embodiments are described herein in such details as to clearly communicate the disclosure. However, the amount of details provided herein is not intended to limit the anticipated variations of embodiments; on the contrary, the intention is to cover all modifications, equivalents, and alternatives falling within the scope of the present disclosure as defined by the appended claims.
It is also to be understood that various arrangements may be devised that, although not explicitly described or shown herein, embody the principles of the present disclosure. Moreover, all statements herein reciting principles, aspects, and embodiments of the present disclosure, as well as specific examples, are intended to encompass equivalents thereof.
The terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting of example embodiments. As used herein, the singular forms "a"," "an" and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise. It will be further understood that the terms "comprises," "comprising," "includes" and/or "including," when used herein, specify the presence of stated features, integers, steps, operations, elements and/or components, but do not preclude the presence or addition of one or more other features, integers, steps, operations, elements, components and/or groups thereof.
It should also be noted that in some alternative implementations, the functions/acts noted may occur out of the order noted in the figures. For example, two figures shown in succession may, in fact, be executed concurrently or may sometimes be executed in the reverse order, depending upon the functionality/acts involved.
In addition, the descriptions of "first", "second", "third", and the like in the present invention are used for the purpose of description only, and are not to be construed as indicating or implying their relative importance or implicitly indicating the number of technical features indicated. Thus, features defining "first" and "second" may include at least one of the features, either explicitly or implicitly.
Unless otherwise defined, all terms (including technical and scientific terms) used herein have the same meaning as commonly understood by one of ordinary skill in the art to which example embodiments belong. It will be further understood that terms, e.g., those defined in commonly used dictionaries, should be interpreted as having a meaning that is consistent with their meaning in the context of the relevant art and will not be interpreted in an idealized or overly formal sense unless expressly so defined herein.
The Poultry Farm Monitoring System for Dead Chicken Using Image Processing is designed to automate the detection of deceased chickens, enhancing farm productivity and health management. The system comprises high-resolution cameras, image processing algorithms, and a real-time alert system, ensuring constant surveillance of poultry houses. Cameras are installed strategically to cover all areas, minimizing blind spots. The system may include infrared (IR) or Pan-Tilt-Zoom (PTZ) cameras for low-light environments, ensuring visibility and flexibility across large farms.
Captured images or video feeds are transmitted to a processing unit, where advanced image recognition algorithms identify individual chickens and assess their health status based on movement and posture. Object detection algorithms, such as You Only Look Once (YOLO) or Single Shot Multibox Detection (SSD), detect chickens within frames, while Convolutional Neural Networks (CNNs) classify each bird as alive or dead. Posture recognition further refines detection accuracy, identifying positions associated with deceased chickens, such as lying flat or twisted.
Motion analysis tracks individual chickens over time; birds that remain motionless are flagged for further analysis to reduce false positives. The system also includes a real-time monitoring interface, accessible through a desktop dashboard or mobile app, providing farm operators with live feeds, visual alerts, and notifications when a deceased chicken is detected. The system uses visual, audio, email, or SMS alerts to notify operators, facilitating rapid response and removal of deceased birds, minimizing contamination risks.
This automated system reduces labor, increases efficiency, and maintains farm hygiene, supporting healthier poultry environments and better productivity. Additionally, the system records all detection events, allowing for data logging and analysis, which provides valuable insights into flock health trends, aiding farm management in making informed decisions.
, Claims:1. A poultry farm monitoring system for detecting dead chickens, comprising high-resolution cameras, image processing algorithms, and a real-time alert system to identify deceased chickens and provide immediate notifications to farm operators.
2. The system as claimed in Claim 1, wherein the image processing algorithms utilize object detection and classification models, including Convolutional Neural Networks (CNNs), to distinguish between live and dead chickens.
3. The system as claimed in Claim 1, wherein motion analysis and posture recognition techniques are applied to identify dead chickens based on lack of movement and characteristic postures.
4. The system as claimed in Claim 1, wherein infrared (IR) and Pan-Tilt-Zoom (PTZ) cameras are employed for enhanced visibility in low-light conditions, ensuring comprehensive monitoring.
5. The system as claimed in Claim 1, wherein alerts are transmitted to farm operators via visual, audio, email, or SMS notifications, providing precise location details of the detected deceased chickens.
6. A method for monitoring poultry farms as claimed in Claim 1, involving continuous image capture, processing for dead chicken detection, and real-time alert generation to improve farm hygiene and reduce disease risks.

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