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IOT (INTERNET OF THINGS) BASED ANTI-COLLISION SYSTEM FOR VEHICLES

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IOT (INTERNET OF THINGS) BASED ANTI-COLLISION SYSTEM FOR VEHICLES

ORDINARY APPLICATION

Published

date

Filed on 20 November 2024

Abstract

The present invention discloses an IoT-based anti-collision system for vehicles, designed to enhance road safety through proactive collision avoidance. This system integrates an array of sensors, including ultrasonic, radar, and cameras, to detect nearby obstacles and hazards. A central processing unit (CPU) analyzes data from these sensors using advanced machine learning algorithms to assess potential collision threats. The system employs a robust IoT communication framework that facilitates real-time data exchange between vehicles and traffic infrastructure, while a cloud-based platform aggregates data to improve predictive capabilities over time. Additionally, the user interface provides real-time alerts and haptic feedback to the driver, ensuring increased situational awareness. In the event of an imminent collision, the system can initiate automated safety measures, such as preemptive braking. By combining these technologies, the invention significantly reduces the risk of vehicular accidents, contributing to smarter and safer transportation systems.

Patent Information

Application ID202411089784
Invention FieldELECTRONICS
Date of Application20/11/2024
Publication Number48/2024

Inventors

NameAddressCountryNationality
Mr. Dushyant Singh ChauhanAssistant Professor,Department of Electronics and Communication Engineering ,Ajay Kumar Garg Engineering College, 27th KM Milestone, Delhi - Meerut Expy, Ghaziabad, Uttar Pradesh 201015, India.IndiaIndia
Mrinal KumarDepartment of Electronics and Communication Engineering, Ajay Kumar Garg Engineering College, 27th KM Milestone, Delhi - Meerut Expy, Ghaziabad, Uttar Pradesh 201015, India.IndiaIndia

Applicants

NameAddressCountryNationality
Ajay Kumar Garg Engineering College27th KM Milestone, Delhi - Meerut Expy, Ghaziabad, Uttar Pradesh 201015.IndiaIndia

Specification

Description:[014] The following is a detailed description of embodiments of the disclosure depicted in the accompanying drawings. The embodiments are in such detail as to clearly communicate the disclosure. However, the amount of detail offered 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 spirit, and scope of the present disclosure as defined by the appended claims.
[015] In the following description, numerous specific details are set forth in order to provide a thorough understanding of embodiments of the present invention. It will be apparent to one skilled in the art that embodiments of the present invention may be practiced without some of these specific details.
[016] Specific details are given in the following description to provide a thorough understanding of the embodiments. However, it will be understood by one of ordinary skill in the art that the embodiments may be practiced without these specific details. For example, circuits, systems, networks, processes, and other components may be shown as components in block diagram form in order not to obscure the embodiments in unnecessary detail. In other instances, well-known circuits, processes, algorithms, structures, and techniques may be shown without unnecessary detail to avoid obscuring the embodiments.
[017] Also, it is noted that individual embodiments may be described as a process that is depicted as a flowchart, a flow diagram, a data flow diagram, a structure diagram, or a block diagram. Although a flowchart may describe the operations as a sequential process, many of the operations can be performed in parallel or concurrently. In addition, the order of the operations may be re-arranged. A process is terminated when its operations are completed but could have additional steps not included in a figure. A process may correspond to a method, a function, a procedure, a subroutine, a subprogram, etc. When a process corresponds to a function, its termination can correspond to a return of the function to the calling function or the main function.
[018] The word "exemplary" and/or "demonstrative" is used herein to mean serving as an example, instance, or illustration. For the avoidance of doubt, the subject matter disclosed herein is not limited by such examples. In addition, any aspect or design described herein as "exemplary" and/or "demonstrative" is not necessarily to be construed as preferred or advantageous over other aspects or designs, nor is it meant to preclude equivalent exemplary structures and techniques known to those of ordinary skill in the art. Furthermore, to the extent that the terms "includes," "has," "contains," and other similar words are used in either the detailed description or the claims, such terms are intended to be inclusive in a manner similar to the term "comprising" as an open transition word without precluding any additional or other elements.
[019] Reference throughout this specification to "one embodiment" or "an embodiment" or "an instance" or "one instance" means that a particular feature, structure, or characteristic described in connection with the embodiment is included in at least one embodiment of the present disclosure. Thus, the appearances of the phrases "in one embodiment" or "in an embodiment" in various places throughout this specification are not necessarily all referring to the same embodiment. Furthermore, the particular features, structures, or characteristics may be combined in any suitable manner in one or more embodiments.
[020] In an embodiment of the invention and referring to Figures 1, the present invention introduces an advanced IoT-based anti-collision system for vehicles, aimed at enhancing safety through proactive collision avoidance mechanisms. This system integrates various hardware and software components, leveraging real-time data exchange and machine learning algorithms to significantly reduce the risk of vehicular accidents.
[021] At the core of the system is an array of sensors deployed within and around the vehicle. These include ultrasonic sensors for short-range obstacle detection, radar sensors for mid-range monitoring, and cameras for visual identification of potential hazards. The ultrasonic sensors emit sound waves and measure the time it takes for the echo to return, providing precise distance measurements to nearby objects. This information is critical for detecting pedestrians, cyclists, and other vehicles within close proximity.
[022] In conjunction with the ultrasonic sensors, the radar sensors utilize radio waves to detect the speed and distance of moving objects. This mid-range detection capability is essential for identifying vehicles in adjacent lanes or those approaching from behind. The radar system operates effectively in various weather conditions, ensuring consistent performance regardless of visibility.
[023] The camera system complements the sensor array by providing visual data that is processed through advanced image recognition algorithms. These algorithms can identify various types of obstacles, including road signs, traffic signals, and lane markings. By integrating visual data with the readings from ultrasonic and radar sensors, the system can create a comprehensive understanding of the vehicle's environment.
[024] All sensor data is transmitted to a central processing unit (CPU) housed within the vehicle. This CPU is equipped with high-performance computing capabilities and runs sophisticated machine learning algorithms that analyze the incoming data streams. The CPU's role is to interpret the data, assess potential collision threats, and determine appropriate responses based on real-time information.
[025] To facilitate seamless communication among the vehicle, other vehicles, and traffic infrastructure, the system employs an IoT communication framework. This framework includes both short-range communication technologies, such as Dedicated Short-Range Communications (DSRC) and Long-Range Wide Area Network (LoRaWAN) for broader data exchange. The use of these technologies allows vehicles to share critical information about their speed, direction, and location with one another, thus enhancing overall situational awareness.
[026] Additionally, the system incorporates a cloud-based platform that aggregates data from multiple vehicles and traffic management systems. This platform enables the storage and processing of vast amounts of data, allowing for advanced analytics and learning from historical traffic patterns. By utilizing cloud computing resources, the system can improve its predictive capabilities over time, adapting to changing road conditions and traffic behaviors.
[027] The vehicle's anti-collision system is also equipped with a user interface that provides real-time feedback to the driver. This interface can include visual alerts, audible warnings, and haptic feedback through the steering wheel or seat, ensuring that the driver is adequately informed of potential hazards. The interface is designed to minimize distraction while maximizing the driver's awareness of their surroundings.
[028] In the event of an imminent collision, the system can initiate automated safety measures. These measures may include preemptive braking, steering adjustments, or even engaging emergency stop protocols. By leveraging the integrated hardware components, the system can respond within milliseconds to potential threats, significantly improving the vehicle's overall safety.
[029] To illustrate the efficacy of the system, Table 1 below outlines the performance metrics of various components and their collective impact on collision avoidance:

[030] This table highlights the rapid response times and high accuracy rates of the individual components, demonstrating their effectiveness in collision avoidance scenarios. The integration of these components ensures that the system operates cohesively, providing real-time feedback and intervention capabilities.
[031] The architecture of the IoT-based anti-collision system is designed to be modular, allowing for easy upgrades and maintenance. Each hardware component can be independently assessed and replaced if necessary, ensuring that the system remains at the forefront of technological advancements in vehicle safety. Moreover, the software algorithms can be updated via over-the-air (OTA) updates, enabling the incorporation of new learning and improvements without requiring physical access to the vehicle.
[032] In terms of interoperability, the system is built upon open standards that facilitate communication with various vehicle manufacturers and infrastructure providers. This interoperability is crucial for the widespread adoption of the technology, as it ensures that vehicles from different manufacturers can communicate effectively, enhancing the overall safety of the road network.
[033] Furthermore, the anti-collision system employs a feedback loop mechanism, where data collected during driving is used to continually refine the algorithms. This learning process not only improves the accuracy of collision predictions but also allows the system to adapt to individual driving behaviors and preferences, thereby personalizing the user experience.
[034] The invention also addresses privacy concerns by ensuring that data transmitted over the IoT network is encrypted and anonymized. This approach protects the driver's identity while still enabling valuable insights to be gleaned from aggregated data. By maintaining robust security protocols, the system fosters trust among users and encourages the adoption of IoT technologies in the automotive sector.
[035] Additionally, the anti-collision system is designed to be energy-efficient, minimizing the power consumption of its components. The use of low-power sensors and intelligent processing techniques allows the system to operate effectively without significantly impacting the vehicle's overall energy usage.
[036] In conclusion, the IoT-based anti-collision system for vehicles represents a significant advancement in automotive safety technology. By integrating a comprehensive array of sensors, sophisticated processing capabilities, and robust communication frameworks, the system provides a proactive solution to collision avoidance. The invention not only enhances individual vehicle safety but also contributes to the creation of smarter, more connected transportation systems, paving the way for a future with reduced traffic accidents and improved road safety for all users. , Claims:1. An IoT-based anti-collision system for vehicles, comprising:
a) an array of sensors, including ultrasonic sensors for short-range obstacle detection, radar sensors for mid-range monitoring, and cameras for visual identification of potential hazards;
b) a central processing unit (CPU) configured to receive data from the sensors, analyze the data using machine learning algorithms, and determine potential collision threats;
c) an IoT communication framework enabling real-time data exchange among the vehicle, other vehicles, and traffic infrastructure; and
d) a cloud-based platform for aggregating data from multiple vehicles and traffic management systems to enhance predictive capabilities.
2. The system as claimed in claim 1, wherein the ultrasonic sensors emit sound waves and measure the time it takes for the echo to return, providing distance measurements to nearby objects, thus facilitating pedestrian and cyclist detection.
3. The system as claimed in claim 1, wherein the radar sensors utilize radio waves to detect the speed and distance of moving objects, effectively identifying vehicles in adjacent lanes or those approaching from behind, regardless of weather conditions.
4. The system as claimed in claim 1, wherein the camera system processes visual data through advanced image recognition algorithms capable of identifying road signs, traffic signals, and lane markings, thereby providing a comprehensive understanding of the vehicle's environment.
5. The system as claimed in claim 1, further includes a user interface configured to provide real-time feedback to the driver, including visual alerts, audible warnings, and haptic feedback, ensuring that the driver is informed of potential hazards without distraction.
6. The system as claimed in claim 1, wherein the CPU is equipped with high-performance computing capabilities to facilitate rapid data analysis and response, enabling the system to react within milliseconds to potential threats.
7. The system as claimed in claim 1, wherein the IoT communication framework employs Dedicated Short-Range Communications (DSRC) and Long-Range Wide Area Network (LoRaWAN) technologies for robust and seamless data exchange.
8. The system as claimed in claim 1, wherein the cloud-based platform utilizes historical traffic data to improve the predictive capabilities of the machine learning algorithms, adapting to changing road conditions and traffic behaviors.
9. The system as claimed in claim 1, further includes automated safety measures that are initiated in response to imminent collision threats, including preemptive braking, steering adjustments, or emergency stop protocols.
10. The system as claimed in claim 1, wherein data transmitted over the IoT network is encrypted and anonymized to protect the driver's identity while still allowing for valuable insights to be derived from aggregated data.

Documents

NameDate
202411089784-COMPLETE SPECIFICATION [20-11-2024(online)].pdf20/11/2024
202411089784-DECLARATION OF INVENTORSHIP (FORM 5) [20-11-2024(online)].pdf20/11/2024
202411089784-DRAWINGS [20-11-2024(online)].pdf20/11/2024
202411089784-EDUCATIONAL INSTITUTION(S) [20-11-2024(online)].pdf20/11/2024
202411089784-EVIDENCE FOR REGISTRATION UNDER SSI [20-11-2024(online)].pdf20/11/2024
202411089784-EVIDENCE FOR REGISTRATION UNDER SSI(FORM-28) [20-11-2024(online)].pdf20/11/2024
202411089784-FORM 1 [20-11-2024(online)].pdf20/11/2024
202411089784-FORM 18 [20-11-2024(online)].pdf20/11/2024
202411089784-FORM FOR SMALL ENTITY(FORM-28) [20-11-2024(online)].pdf20/11/2024
202411089784-FORM-9 [20-11-2024(online)].pdf20/11/2024
202411089784-REQUEST FOR EARLY PUBLICATION(FORM-9) [20-11-2024(online)].pdf20/11/2024
202411089784-REQUEST FOR EXAMINATION (FORM-18) [20-11-2024(online)].pdf20/11/2024

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