Autonomous robotic system for lawn maintenance for landscaping for e.g. residential, has sensors and camera-based detection system for navigation and obstacle avoidance, LCD interface for real-time monitoring and feedback, and chassis construction allowing for easy maintenance and customization
	PATEL H K; MEHTA S; SHAH U; SHAH S
	2025-04-02
专利权人	SHAH U (SHAH-Individual) ; SHAH S (SHAH-Individual) ; UNIV NIRMA TECHNOLOGY INST (UYNI-Non-standard)
申请日期	2025-04-02
专利号	IN202521032507-A
成果简介	NOVELTY - The system has a deep learning-based artificial intelligence module for real-time image processing and obstacle detection. A convolutional neural network (CNN) is trained on a custom dataset to distinguish grassy areas from obstacles. A Raspberry Pi(RTM: small single-board computer)-based control system is interfaced with an 10 Arduino(RTM: open-source hardware and software company, project and user community that designs and manufactures single-board microcontrollers and microcontroller kits) Mega for real-time sensor data processing. An adjustable cutting blade mechanism is set for precise grass trimming. An integrated water-sprinkling system comprises a water container, connected pipe, and sprinkler. The ultrasonic sensors and a camera-based detection system are provided for improved navigation and obstacle avoidance. An LCD interface is set for real-time monitoring and feedback. A modular chassis construction allows for easy maintenance and customization. USE - Autonomous robotic system for lawn maintenance such as lawn mowing, lawn trimming, and watering, for landscaping for residential, commercial, and industrial spaces. ADVANTAGE - The system employs a convolutional neural network (CNN) trained on a custom dataset to distinguish between grassy areas and obstacles with 99.99% accuracy. The Raspberry Pi serves as the central control unit, interfacing with an Arduino Mega for real-time data processing. The robotic system features a compact design with a dual-motor drive, track-based mobility, and an adjustable cutting blade mechanism. The automated irrigation system ensures efficient water distribution. Safety features include ultrasonic sensors, automatic blade shutdown upon obstacle detection, and real-time monitoring via an LCD interface. The modular construction enhances adaptability for diverse terrains. The system provides a fully autonomous, intelligent, and energy-efficient solution for lawn care and maintenance. DESCRIPTION OF DRAWING(S) - The drawing shows front and back elevation views of the mechanical housing. 201Mechanical housing 202,203Upper enclosure 204,207Side support structures 205Driven assembly 206Base platform
IPC 分类号	A01D-034/00 ; G05D-001/00 ; G06N-003/04 ; G06N-003/045 ; G06N-003/08
国家	印度
专业领域	信息技术
语种	英语
成果类型	专利
文献类型	科技成果
条目标识符	http://119.78.100.226:8889/handle/3KE4DYBR/13228
专题	中国科学院新疆生态与地理研究所
作者单位	1.SHAH U (SHAH-Individual) 2.SHAH S (SHAH-Individual) 3.UNIV NIRMA TECHNOLOGY INST (UYNI-Non-standard)
推荐引用方式 GB/T 7714	PATEL H K,MEHTA S,SHAH U,et al. Autonomous robotic system for lawn maintenance for landscaping for e.g. residential, has sensors and camera-based detection system for navigation and obstacle avoidance, LCD interface for real-time monitoring and feedback, and chassis construction allowing for easy maintenance and customization. IN202521032507-A[P]. 2025.

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