COLLISION DETECTION SYSTEM

Abstract

Disclosed herein is a collision detection system (100) comprising an impact sensor (104) configured to detect sudden collisions in a vehicle and an infrared sensor (106) to confirm the presence of nearby emergency vehicles. The system (100) includes a microcontroller (112) connected to the impact sensor (104), infrared sensor (106), GPS module (124), and Wi-Fi module (120). The microcontroller (112) integrates a data input module (114) that receives data from the impact and infrared sensors, a collision detection module (116) to identify collision events based on impact sensor data, and a validation module (118). Additionally, the GPS module (124) determines the precise location at the time of collision, and the Wi-Fi module (120) transmits collision and GPS data via a communication network (108). A notification module (122) triggers real-time alerts to emergency responders. Cloud platform (110) processes and visualizes data, while a user device (126) provides monitoring and alerts.

Specification

Description:FIELD OF DISCLOSURE
[0001] The present disclosure generally relates to collision detection system, more specifically, relates to Intelligent collision detection and real-time emergency response system based on IOT.
BACKGROUND OF THE DISCLOSURE
[0002] Emergency detection and response systems, particularly those designed for smart-home environments and vehicle collision scenarios. More specifically, it addresses the development of a system that improves the timeliness and accuracy of emergency responses by utilizing advanced sensor integration and real-time data processing. To improve the efficacy and efficiency of emergency responses, this invention combines data from many sensors and alerting systems.
[0003] Traditional emergency detection systems face several disadvantages that limit their effectiveness. A major drawback is the reliance on static sensors that provide limited data points, often requiring manual intervention to confirm emergencies. These systems typically lack real-time data processing capabilities, leading to delayed responses. Additionally, traditional systems often fail to integrate multiple data sources, such as vehicle collision data and smart-home sensor data, which reduces the overall accuracy of emergency detection. The lack of automatic alert systems makes it more difficult to communicate with emergency personnel in a timely manner, which raises the possibility of serious injuries or fatalities.
[0004] The present invention overcomes the limitations of the prior art by implementing a unified framework that combines advanced sensor integration with real-time data processing and cloud-based analytics. This approach not only enhances the precision of emergency identification but also ensures rapid notification to emergency responders through automated alerts by integrating comprehensive sensor data and automating the response protocols. This innovation leads to more reliable emergency responses, improving safety and reducing the severity of injuries or fatalities by ensuring swift and coordinated action from emergency services.
[0005] Thus, in light of the above-stated discussion, there exists a need for a collision detection system.
SUMMARY OF THE DISCLOSURE
[0006] The following is a summary description of illustrative embodiments of the invention. It is provided as a preface to assist those skilled in the art to more rapidly assimilate the detailed design discussion which ensues and is not intended in any way to limit the scope of the claims which are appended hereto in order to particularly point out the invention.
[0007] According to illustrative embodiments, the present disclosure focuses on a collision detection system which overcomes the above-mentioned disadvantages or provide the users with a useful or commercial choice.
[0008] The present disclosure solves all the above major limitations of a system for collision detection system.
[0009] An objective of the present disclosure is to enhance the accuracy and timeliness of detecting vehicle collision and responding to emergencies by using a combination of impacts sensors, infrared sensors, and GPS modules.
[0010] Another objective of the present disclosure is to provide a system that automatically validates collision events and confirms the presence of nearby emergency vehicles to ensure accurate and relevant emergency responses.
[0011] Another objective of the present disclosure is to integrate real-time data transmission to a cloud platform, allowing immediate notification of emergency responders and enabling coordinated response efforts.
[0012] Another objective of the present disclosure is to reduce response time and improve the chances of saving lives by providing precise location data and detailed events logs to emergency services.
[0013] Another objective of the present disclosure is to implement a scalable and adaptable system that can continuously update with new sensor inputs and emerging data, ensuring ongoing accuracy and reliability in various emergency scenarios.
[0014] Yet another objective of the present disclosure is to automate the entire emergency detection and notification process, eliminating the need for manual interventions and streamline the response protocol.
[0015] Yet another objective of the present disclosure is to provide a unified framework that seamlessly integrates multiple sensors and communication modules, enhancing the system's overall efficiency and effectiveness in emergency situations.
[0016] Yet another objective of the present disclosure is to minimize the risk of false alarms by utilizing data validation techniques that confirms collision events through multiple sensor inputs.
[0017] Yet another objective of the present disclosure is to ensure robust data security and privacy by encrypting all transmitted data to protect sensitive information related to the collision and the vehicle.
[0018] Yet another objective of the present disclosure is to provide customizable alert settings for users, enabling them to define specific criteria for different levels of emergency notifications.
[0019] Yet another objective of the present disclosure is to include a fail-safe mechanism that guarantees emergency alerts are sent even if one or more system components fails.
[0020] Yet another objective of the present disclosure is to utilize machine learning algorithms to improve the system's predictive capabilities over time, learning past data to enhance future performance.
[0021] Yet another objective of the present disclosure is to provide comprehensive post-incident analysis tools, allowing users and emergency responders to review and analyze data from collision events to improve safety measures and response protocols.
[0022] In light of the above, in one aspect of the present disclosure, a collision detection system is disclosed herein. The system comprises an impact sensor configured to detect sudden collisions or impacts in a vehicle. The system includes an infrared sensor configured to confirm the presence of nearby emergency vehicles. The system also includes a GPS module configured to determine the precise location of the vehicle at the time of the collision. The system also includes a Wi-Fi module configured to transmit collision data, including GPS coordinates, to a cloud platform. The system also includes a microcontroller connected to the impact sensor, IR sensors, GPS module, and WIFI module, wherein the microcontroller is configured the system also includes a data input module configured to receive data from impact sensor and infrared sensor. The system also includes a collision detection module configured to determine if a collision event has occurred based on the data from the impact sensor. The system also includes a validation module configured to validate the collision event using data from the IR sensor. The system also includes a transmission module configured to send location and event data via the WI-FI module to a remote cloud platform for further processing. The system also includes a notification module configured to trigger a real-time notification to emergency responders based on the transmitted data and. The system also includes cloud platform configured to receive, process, and visualize the transmitted data, including detailed event logs and GPS coordinates, and to communicate relevant information to emergency services for a coordinated response.
[0023] In one embodiment, the GPS module continuously tracks the vehicle's position and automatically updates the location data to the cloud platform during and after the collision event.
[0024] In one embodiment, the IR sensor is further configured to detect the proximity of emergency vehicles and validates their approach to the accident site, ensuring continuous communication.
[0025] In one embodiment, the cloud platform utilizes a machine learning algorithm to analyze historical collision data and predict the potential severity of the collision based on impact force and other parameters.
[0026] In one embodiment, the WIFI module supports real time transmission of sensor data to the cloud platform with low latency, ensuring immediate notification to emergency services.
[0027] In one embodiment, the system further comprises a data logging module integrated into the microcontroller to store historical collision data for later analysis and system optimization.
[0028] In one embodiment, the system further comprises a notification module configured to alert the vehicle's owner or designated contacts in the event of a collision, providing real-time updates on the accident's location and status.
[0029] In one embodiment, the system further includes a mobile application interface that allows users to monitor real-time data, receive alerts, and track emergency response progress through the cloud platform.
[0030] In light of the above, in another aspect of the present disclosure a method for collision detection system is disclosed herein. The method comprises detecting sudden collisions or impacts in a vehicle via an impact sensor. The method also includes confirming the presence of nearby emergency vehicles via an infrared sensor. The method also includes determining the precise location of the vehicle at the time of the collision via a GPS module. The method also includes transmitting collision data, including GPS coordinates, to a cloud platform via a Wi-Fi module. The method also includes connecting to the impact sensor, IR sensors, GPS module, and Wi-Fi module, wherein the microcontroller is configured to via a microcontroller. the method also includes receiving data from impact sensor and infrared sensor via a data input module. The method also includes determining if a collision event has occurred based on the data from the impact sensor via a collision detection module. The method also includes validating the collision event using data from the IR sensor via a validation module. The method also includes sending location and event data via the WI-FI module via a transmission module. The method also includes triggering a real-time notification to emergency responders based on the transmitted data via a notification module. The method also includes receiving, process, and visualize the transmitted data, including detailed event logs and GPS coordinates via a cloud platform.
[0031] These and other advantages will be apparent from the present application of the embodiments described herein.
[0032] The preceding is a simplified summary to provide an understanding of some embodiments of the present invention. This summary is neither an extensive nor exhaustive overview of the present invention and its various embodiments.The summary presents selected concepts of the embodiments of the present invention in a simplified form as an introduction to the more detailed description presented below. As will be appreciated, other embodiments of the present invention are possible utilizing, alone or in combination, one or more of the features set forth above or described in detail below.
[0033] These elements, together with the other aspects of the present disclosure and various features are pointed out with particularity in the claims annexed hereto and form a part of the present disclosure. For a better understanding of the present disclosure, its operating advantages, and the specified object attained by its uses, reference should be made to the accompanying drawings and descriptive matter in which there are illustrated exemplary embodiments of the present disclosure.
BRIEF DESCRIPTION OF THE DRAWINGS
[0034] To describe the technical solutions in the embodiments of the present disclosure or in the prior art more clearly, the following briefly describes the accompanying drawings required for describing the embodiments or the prior art. Apparently, the accompanying drawings in the following description merely show some embodiments of the present disclosure, and a person of ordinary skill in the art can derive other implementations from these accompanying drawings without creative efforts. All of the embodiments or the implementations shall fall within the protection scope of the present disclosure.
[0035] The advantages and features of the present disclosure will become better understood with reference to the following detailed description taken in conjunction with the accompanying drawing, in which:
[0036] FIG. 1 illustrates a block diagram of a collision detection system, in accordance with an exemplary embodiment of the present disclosure;
[0037] FIG. 2 illustrates a flowchart of a method outlining the sequential steps for classifying for collision detection system, in accordance with an exemplary embodiment of the present disclosure;
[0038] Like reference, numerals refer to like parts throughout the description of several views of the drawing.
[0039] The collision detection system is illustrated in the accompanying drawings, which like reference letters indicate corresponding parts in the various figures. It should be noted that the accompanying figure is intended to present illustrations of exemplary embodiments of the present disclosure. This figure is not intended to limit the scope of the present disclosure. It should also be noted that the accompanying figure is not necessarily drawn to scale.
DETAILED DESCRIPTION OF THE DISCLOSURE
[0040] The following is a detailed description of embodiments of the disclosure depicted in the accompanying drawings. The embodiments are in such detail as to 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.
[0041] In the following description, numerous specific details are set forth in order to provide a thorough understanding of the embodiments of the present disclosure. It may be apparent to one skilled in the art that embodiments of the present disclosure may be practiced without some of these specific details.
[0042] Various terms as used herein are shown below. To the extent a term is used, it should be given the broadest definition persons in the pertinent art have given that term as reflected in printed publications and issued patents at the time of filing.
[0043] The terms "a" and "an" herein do not denote a limitation of quantity, but rather denote the presence of at least one of the referenced items.
[0044] The terms "having", "comprising", "including", and variations thereof signify the presence of a component.
[0045] Referring now to FIG. 1 to FIG. 2 to describe various exemplary embodiments of the present disclosure. FIG. 1 illustrates a perspective view of a collision detection system 100, in accordance with an exemplary embodiment of the present disclosure.
[0046] The system 100 may include a sensor 102, an impact sensor 104, an infrared sensor 106, a communication network 108, a cloud platform 110, a user device 112, a microcontroller 114, a data input module 116, a collision detection module 118, a validation module 120, a transmission module 122, a WIFI module 124, a notification module 126, a GPS module 128.
[0047] The sensor 102 are configured to detect collision related events and surrounding conditions. This module includes an impact sensor and an infrared sensor that work together to monitor and verify collision occurrences.
[0048] The impact sensor 104 is configured to detect sudden impacts or collisions involving the vehicle. It measures the force and intensity of an impact and send this data to the microcontroller for further processing and validation.
[0049] The infrared sensor 106 configured to detect nearby vehicles or emergency response vehicles in proximity to the system. This sensor helps validate the collision event by providing context, confirming whether the vehicle is surrounded by other entities that could indicate a true collision scenario.
[0050] The communication network 108 establish a connection between the vehicle system and external networks. It enables the transmission of collision data, location coordinates, and events validation information to cloud platforms or emergency services. This module includes Wi-Fi capabilities to facilitate real-time data transfer.
[0051] The cloud platform 110 is configured to store manage and analyze the collision data transmitted by the vehicle's system. This module acts as a remote repository that securely holds all data related to detected collision events, including impact data, GPS coordinates, and sensor validations.
[0052] The microcontroller 112 act as a central processing unit of the collision detection system. It receives data from the impact and infrared sensors, processes this information to identify a collision, and validates the event. Once confirmed, it sends the relevant information to the communication network for transmission.
[0053] The data input module 114 is configured to receive raw data from the impact sensor and the IR sensor. It collects this information and forwards it to the microcontroller for initial analysis and validation.
[0054] The collision detection module 116 process the data from the impact sensor to determine where a collision event has occurred. It evaluates the force of the impact to identify significant events, reducing the possibility of false alarms for minor impact.
[0055] The validation module 118 verifies the collision event by analyzing data from the IR sensor. this module ensure that the detected event is a true collision by confirming the presence of surrounding vehicles or entities, thereby enhancing the accuracy of the system.
[0056] The WIFI module 120 is configured to send the validated collision data, including GPS coordinates and impact information, via the communication network.
The notification module 122 is configured to alert emergency responders in real-time when a validated collision is detected. It automatically triggers notifications based on the transmitted data, facilitating prompt response actions.
[0057] The GPS module 124 determines the precise geographical location of the vehicle at the time of collision. It provides real-time coordinates that are crucial for directing emergency responders to the exact scene of the accident.
[0058] The user device 126 serves as an interface for end users, such as drivers, managers, or emergency responders, to interact with the collision detection system.
[0059] FIG. 2 illustrates a flowchart of a method outlining the sequential steps for classifying for collision detection system, in accordance with an exemplary embodiment of the present disclosure;
[0060] The method 200 may include, at step 202 detecting sudden collisions or impacts in a vehicle via an impact sensor, at step 204, confirming the presence of nearby emergency vehicles via an infrared sensor, at step 206, determining the precise location of the vehicle at the time of the collision via a GPS module, at step 208, transmitting collision data, including GPS coordinates, to a cloud platform via a WIFI module, at step 210, connecting to the impact sensor, IR sensors, GPS module, and WIFI module, wherein the microcontroller is configured to via a microcontroller, at step 212, receiving data from impact sensor and infrared sensor via a data input module, at step 214, determining if a collision event has occurred based on the data from the impact sensor via a collision detection module, at step 216, validating the collision event using data from the IR sensor via a validation module, at step 218, sending location and event data via the communication network via a WIFI module, at step 220, triggering a real-time notification to emergency responders based on the transmitted data via a notification module, at step 222, receiving, process, and visualize the transmitted data, including detailed event logs and GPS coordinates via a cloud platform.
[0061] At step 202, detecting sudden collisions or impacts in a vehicle via an impact sensor wherein the impact sensor is designed to monitor rapid changes in force or acceleration indicative of a collision event. The microcontroller processes the signal the impact sensor generates upon detecting a collision.
[0062] At step 204, confirming the presence of nearby emergency vehicles via an infrared sensor involves using the sensor to detect the unique infrared signatures emitted by emergency vehicles, such as ambulances, fire trucks, or police cars.
[0063] At step 206, determining the precise location of the vehicle at the time of the collision via a GPS module this module continuously tracks the vehicle's geographic coordinates and, upon detecting a collision event, captures the exact location data, including latitude, longitude, and altitude if applicable.
[0064] At step 208, transmit collision data, including GPS coordinates, to a cloud platform via a WIFI module to a cloud platform using http/https. The cloud stores and analyzes the data for real-time monitoring, generating reports, and triggering notifications while ensuring secure transmission through encryption.
[0065] At step 210, connecting to the impact sensor, IR sensors, GPS module, and Wi-Fi module, wherein the microcontroller is configured to via a microcontroller a Wi-Fi module enables wireless communication with a cloud platform, facilitating data transmission. The microcontroller processes sensor inputs and orchestrates actions based on predefined algorithms to ensure effective monitoring and response.
[0066] At step 212, receiving data from impact sensor and an infrared sensor via a data input module its processes these inputs to identify potential hazards or safety events. The module converts the sensor data into a usable format for further analysis, triggering alerts or actions based on predefined thresholds.
[0067] At step 214, determining if a collision event has occurred based on the data from the impact sensor via a collision detection module by analyzing sudden changes in acceleration or force, the module identifies significant impacts, triggering alerts. This enables immediate responses, such as activating safety systems or notifying emergency services, enhancing vehicle safety and occupant protection.
[0068] At step 216, validating the collision event using data from the IR sensor via a validation module processes this data to confirm the collision by assessing anomalies in distance measurements. Combined with impact data, this verification enhances accuracy, reducing false positives in collision detection and ensuring reliable incident reporting.
[0069] At step 218, sending location and event data via the Wi-Fi module via a transmission module. This data includes GPS coordinates, collision details, and timestamp, which are transmitted to a remote cloud platform. The Wi-Fi module ensures secure, real-time data transfer for further processing and immediate response.
[0070] At step 220, triggering a real-time notification to emergency responders based on the transmitted data via a notification module Upon receiving processed data, including the vehicle's location and collision severity, the notification module automatically sends alerts to designated emergency contacts, ensuring rapid response and facilitating timely assistance at the accident scene.
[0071] At step 222, receiving, process, and visualize the transmitted data, including detailed event logs and GPS coordinates via a cloud platform. It organizes and analyzes this data in real time, presenting it through graphical dashboards and comprehensive reports, enabling emergency responders to assess the collision's specifics and location accurately.
[0072] While the invention has been described in connection with what is presently considered to be the most practical and various embodiments, it will be understood that the invention is not to be limited to the disclosed embodiments, but on the contrary, is intended to cover various modifications and equivalent arrangements included within the scope of the appended claims.
[0073] A person of ordinary skill in the art may be aware that, in combination with the examples described in the embodiments disclosed in this specification, units and algorithm steps may be implemented by electronic hardware, computer software, or a combination thereof.
[0074] The foregoing descriptions of specific embodiments of the present disclosure have been presented for purposes of illustration and description. They are not intended to be exhaustive or to limit the present disclosure to the precise forms disclosed, and many modifications and variations are possible in light of the above teaching. The embodiments were chosen and described to best explain the principles of the present disclosure and its practical application, and to thereby enable others skilled in the art to best utilize the present disclosure and various embodiments with various modifications as are suited to the particular use contemplated. It is understood that various omissions and substitutions of equivalents are contemplated as circumstances may suggest or render expedient, but such omissions and substitutions are intended to cover the application or implementation without departing from the scope of the present disclosure.
[0075] Disjunctive language such as the phrase "at least one of X, Y, Z," unless specifically stated otherwise, is otherwise understood with the context as used in general to present that an item, term, etc., may be either X, Y, or Z, or any combination thereof (e.g., X, Y, and/or Z). Thus, such disjunctive language is not generally intended to, and should not, imply that certain embodiments require at least one of X, at least one of Y, or at least one of Z to each be present.
[0076] In a case that no conflict occurs, the embodiments in the present disclosure and the features in the embodiments may be mutually combined. The foregoing descriptions are merely specific implementations of the present disclosure but are not intended to limit the protection scope of the present disclosure. Any variation or replacement readily figured out by a person skilled in the art within the technical scope disclosed in the present disclosure shall fall within the protection scope of the present disclosure. Therefore, the protection scope of the present disclosure shall be subject to the protection scope of the claims.
, Claims:I/We Claim:
1. A system (100) for collision detection and emergency response, the system (100) comprising:
an impact sensor (104) configured to detect sudden collisions or impacts in a vehicle;
an infrared sensor (106) configured to confirm the presence of nearby emergency vehicles;
a microcontroller (112) connected to the impact sensor (104) and infrared sensors (106) and configured to process data, wherein the microcontroller (112) further comprises:
a data input module (114) configured to receive data from impact sensor (104) and infrared sensor (106);
a collision detection module (116) configured to determine if a collision event has occurred based on the data from the impact sensor (104);
a validation module (118) configured to validate the collision event using data from the IR sensor (106);
a GPS module (124) configured to determine the precise location of the vehicle at the time of the collision;
a Wi-Fi module (120) configured to transmit collision data, including GPS coordinates via a communication network (108);
a cloud platform (110) configured to receive, process, and visualize the transmitted data, including detailed event logs and GPS coordinates, and to communicate relevant information to emergency services for a coordinated response; and
a notification module (122) configured to trigger a real-time notification to emergency responders based on the transmitted data.
a user device (126) connected to the system (100) via an application that allows users to monitor collision events, receive real-time notification, and access location specific data.
2. The system (100) as claimed in claim 1, wherein the GPS module (124) continuously tracks the vehicle's position and automatically updates the location data to the cloud platform during and after the collision event.
3. The system (100) as claimed in claim 1, wherein the IR sensor (106) is further configured to detect the proximity of emergency vehicles and validates their approach to the accident site, ensuring continuous communication.
4. The system (100) as claimed in claim 1, wherein the cloud platform (110) utilizes a machine learning algorithm to analyze historical collision data and predict the potential severity of the collision based on impact force and other parameters.
5. The system (100) as claimed in claim 1, wherein the Wi-Fi module (120) supports real time transmission of sensor data to the cloud platform with low latency, ensuring immediate notification to emergency services.
6. The system (100) as claimed in claim 1, wherein the system (100) further comprises a data logging and integrated into the microcontroller (112) to store historical collision data for later analysis and system optimization.
7. The system (100) as claimed in claim 1, wherein the system (100) further comprises a notification module (122) configured to alert the vehicle's owner or designated contacts in the event of a collision, providing real-time updates on the accident's location and status.
8. The system (100) as claimed in claim 1, wherein the system (100) further includes a user device (126) that allows users to monitor real-time data, receive alerts, and track emergency response progress through the cloud platform.
9. A method (200) for collision detection and emergency response, the method (200) comprising:
detecting sudden collisions or impacts in a vehicle via an impact sensor (104);
confirming the presence of nearby emergency vehicles via an infrared sensor (106);
determining the precise location of the vehicle at the time of the collision via a GPS module (124);
transmitting collision data, including GPS coordinates, to a cloud platform via a WIFI module (120);
connecting to the impact sensor (104), IR sensors (106), GPS module (124), and WIFI module (120), wherein the microcontroller (112) is configured to via a microcontroller (112);
receiving data from impact sensor (104) and infrared sensor (106) via a data input module (114);
determining if a collision event has occurred based on the data from the impact sensor (104) via a collision detection module (116);
validating the collision event using data from the IR sensor via a validation module (118);
sending location and event data via the communication network (108) via a Wi-Fi module (120);
receiving, process, and visualize the transmitted data, including detailed event logs and GPS coordinates via a cloud platform (110);
triggering a real-time notification to emergency responders based on the transmitted data via a notification module (122);

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