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A System For Detecting Animals In The Wild And Tracking Position Using Vision

Abstract: Wildlife-vehicle collisions (WVCs) are a significant problem in India, particularly in highways or forested areas where people rank them as a major safety concern, this is an issue that could not be ignored any longer considering the rapid extinction of animals around the globe. Animal detection systems use sensors to detect large animals that approach the road. Once a large animal is detected, warning signals are activated to inform the drivers that a large animal may be on or near the road at that time visually through the LCDs on the roadside. Thus, making the drivers more alert and careful while driving and reducing the potential accidents that occur on road. The camera and sensors are placed in the area of animal activity. Camera detects the moving object in the area and tells the system about motion. PIR sensor used to detect the heats of the body present there which used to identify living being or not. Ultrasonic sensors are also used to find out the distance of animal or creature present there.

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Notices, Deadlines & Correspondence

Patent Information

Application #
Filing Date
26 August 2022
Publication Number
35/2022
Publication Type
INA
Invention Field
ELECTRONICS
Status
Email
ashish.iprindia@hotmail.com
Parent Application

Applicants

UTTARANCHAL UNIVERSITY
ARCADIA GRANT, P.O. CHANDANWARI, PREMNAGAR, DEHRADUN - 248007, UTTARAKHAND, INDIA

Inventors

1. PRINCE PANDEY
UTTARANCHAL UNIVERSITY, ARCADIA GRANT, P.O. CHANDANWARI, PREMNAGAR, DEHRADUN - 248007, UTTARAKHAND, INDIA
2. YASHWANT SINGH
UTTARANCHAL UNIVERSITY, ARCADIA GRANT, P.O. CHANDANWARI, PREMNAGAR, DEHRADUN - 248007, UTTARAKHAND, INDIA
3. MUSKAN GURUNG
UTTARANCHAL UNIVERSITY, ARCADIA GRANT, P.O. CHANDANWARI, PREMNAGAR, DEHRADUN - 248007, UTTARAKHAND, INDIA
4. PRERNA BANSAL
UTTARANCHAL UNIVERSITY, ARCADIA GRANT, P.O. CHANDANWARI, PREMNAGAR, DEHRADUN - 248007, UTTARAKHAND, INDIA
5. AKASH PANWAR
UTTARANCHAL UNIVERSITY, ARCADIA GRANT, P.O. CHANDANWARI, PREMNAGAR, DEHRADUN - 248007, UTTARAKHAND, INDIA
6. SAMEER SINGH KATHAIT
UTTARANCHAL UNIVERSITY, ARCADIA GRANT, P.O. CHANDANWARI, PREMNAGAR, DEHRADUN - 248007, UTTARAKHAND, INDIA
7. ANKITA JOSHI
UTTARANCHAL UNIVERSITY, ARCADIA GRANT, P.O. CHANDANWARI, PREMNAGAR, DEHRADUN - 248007, UTTARAKHAND, INDIA
8. RAJESH SINGH
UTTARANCHAL UNIVERSITY, ARCADIA GRANT, P.O. CHANDANWARI, PREMNAGAR, DEHRADUN - 248007, UTTARAKHAND, INDIA
9. ANITA GEHLOT
UTTARANCHAL UNIVERSITY, ARCADIA GRANT, P.O. CHANDANWARI, PREMNAGAR, DEHRADUN - 248007, UTTARAKHAND, INDIA
10. DHARAM BUDDHI
UTTARANCHAL UNIVERSITY, ARCADIA GRANT, P.O. CHANDANWARI, PREMNAGAR, DEHRADUN - 248007, UTTARAKHAND, INDIA
11. SHAIK VASEEM AKRAM
UTTARANCHAL UNIVERSITY, ARCADIA GRANT, P.O. CHANDANWARI, PREMNAGAR, DEHRADUN - 248007, UTTARAKHAND, INDIA

Specification

Field of the Invention
This invention relates to system for detecting animals in the wild and tracking position using vision
Background of the Invention
US8410941B2: A system for detecting an animal proximate a roadway is disclosed. In one embodiment of the invention, there is at least one warning station, a plurality of sensor stations, and a processor. Each of the plurality of sensor stations may have a first sensor and a second sensor. The processor may be configured to detect an animal using information provided by the first sensor and the second sensor, and to cause transmission of a warning signal to the at least one warning station when the animal is detected.
Research Gap:
• Vision based system is missing in this invention.
• Real-time monitoring of animal movement is lacking in this invention.
EP3073465A1: In an embodiment, an animal detection system (11) includes a surround view system (12), a location determination system (13) and a processing module (14). The processing module (14) is configured to receive data from the surround view system (12) and receive data regarding the location of the vehicle (10) from the location determination system (13). The processing module (14) is configured to determine if the location of the vehicle (10) is within an animal zone, and if the location of the vehicle (10) is within an animal zone, to process data received from the surround view system (12). If the data from the surround view system (12) indicates the presence of an animal, the processing module (14) activates an alert (19).
Research Gap:
• Visual alert is not present in the system.
• This system does not detect the distance of the animal from the vehicle on road.
US9558663B2: Driving condition monitoring system and method includes animal detecting components that detect presence of an animal, each located in a stationary mounting structure in a vicinity of the travel surface and apart from the travel surface, and a vehicle detecting sensor coupled to each animal detecting component and that is activated to detect the presence of a vehicle within a set distance therefrom only when the animal detecting component coupled to the vehicle detecting sensor detects the presence of an animal in the vicinity of the animal detecting component. A communication system is coupled to each animal detecting component and communicates directly to the vehicle or occupant thereof, the detected presence of an animal in the vicinity of the animal detecting component when the vehicle detecting sensor coupled to the animal detecting component detects the presence of a vehicle within the set distance from the vehicle detecting sensor.
Research Gap:
• AI module is absent in this system, any moving object such as a human or small creature can also activate the alert which can be misleading.
• Not suitable for all vehicles.
US20080291050A1: A system for alerting a driver of the presence of wildlife on the road ahead. The system logically deciphers between animal heat and the heat of an oncoming vehicle by way of a combination of infrared (IR) and photo sensors and an AND/NOT logic. At night—when wildlife is not easily visible—the infrared sensor can detect the presence of wildlife and alert the driver both visually and audibly, and if an oncoming vehicle is present with its lights turned on, the alarm is ignored. If wildlife is present and no lighted vehicle is present, then the visual and audible alarm sounds.
Research Gap:
• Facility of night vision cameras adaptable to the environment is not present in this system.
• Ultrasonic sensor is absent, so the distance between the animal and the vehicle could not be detected.
• This system is unable to give the accurate description of the object detected.
None of the prior art indicate above either alone or in combination with one another disclose what the present invention has disclosed. Present invention is Rajiv Bhartari, chief wildlife warden of Uttarakhand, said that a detailed report on the deaths of animals, including tigers, leopards, and elephants has been prepared to be submitted to the state government. Around 700 animals died in accidents in Uttarakhand in last five years. According to data of ministry of environment and forests, as many as 460 leopard deaths were reported in India in 2018. Uttarakhand recorded the highest leopard casualties in the year with 93 deaths. All of these lives lost to wildlife-vehicle accidents. Concerned over the death of elephants and other wild animals in accidents involving trains and other vehicles, the Uttarakhand high court emphasized that officials should have compassion while dealing with the matters related to the wildlife in the state.
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.
Rajiv Bhartari, chief wildlife warden of Uttarakhand, said that a detailed report on the deaths of animals, including tigers, leopards, and elephants has been prepared to be submitted to the state government. Around 700 animals died in accidents in Uttarakhand in last five years. According to data of ministry of environment and forests, as many as 460 leopard deaths were reported in India in 2018. Uttarakhand recorded the highest leopard casualties in the year with 93 deaths. All of these lives lost to wildlife-vehicle accidents. Concerned over the death of elephants and other wild animals in accidents involving trains and other vehicles, the Uttarakhand high court emphasized that officials should have compassion while dealing with the matters related to the wildlife in the state. Wildlife-vehicle collisions (WVCs) are a significant problem in India, particularly in highways or forested areas where people rank them as a major safety concern, this is an issue that could not be ignored any longer considering the rapid extinction of animals around the globe. Animal detection systems use sensors to detect large animals that approach the road. Once a large animal is detected, warning signals are activated to inform the drivers that a large animal may be on or near the road at that time visually through the LCDs on the roadside. The warning signals are extremely time specific and mostly accurate. Therefore, there is a significant requirement for wildlife detecting system so as to alert the drivers to be more careful while driving in order to protect and save lives. The system will help to track the wild animals at the highways and this will reduce the traffic and caused by the interruption of wild animals on highways.
Reason behind creating this system: As per the information or database the highways which cross through the area inhabited by wildlife, there it is a high chance of mishaps caused due to the sudden appearance of wild animals in the way of the vehicle. Some cases have been reported where the wildlife harmed the vehicles and humans. This system works in prevention of any further WVCs. The system is cost effective, reliable, robust and consumes low energy.
BRIEF DESCRIPTION OF THE DRAWINGS
The illustrated embodiments of the subject matter will be understood by reference to the drawings, wherein like parts are designated by like numerals throughout. The following description is intended only by way of example, and simply illustrates certain selected embodiments of devices, systems, and methods that are consistent with the subject matter as claimed herein, wherein:
This section contains the description of the system, the proposed system overcomes the shortcomings of the prior art by introducing AI based sensors for protecting the humans and wildlife from getting harmed. The cameras installed in a close distance with one another and the infrared sensors help determine how far away and at what time the animal was detected, which then gets displayed for the vehicles on road on the LCDs. Firstly, in a particular range camera would be installed connected to the LCDs at the roadsides, visible to the vehicles passing by the area near wildlife. With the assistance of PIR motion sensors, the system would detect the presence of the any wildlife nearby and send the information regarding the animal detected to the LCD screens with the date and time when the animal was detected. Thus, making the drivers more alert and careful while driving and reducing the potential accidents that occur on road.
Figure 1. Proposed system
Figure 2. Animal detection node
The figures depict embodiments of the present subject matter for the purposes of illustration only. A person skilled in the art will easily recognize from the following description that alternative embodiments of the structures and methods illustrated herein may be employed without departing from the principles of the disclosure described herein.

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.
These and other advantages of the present subject matter would be described in greater detail with reference to the following figures. It should be noted that the description merely illustrates the principles of the present subject matter. It will thus be appreciated that those skilled in the art will be able to devise various arrangements that, although not explicitly described herein, embody the principles of the present subject matter and are included within its scope.
This section contains the description of the system, the proposed system overcomes the shortcomings of the prior art by introducing AI based sensors for protecting the humans and wildlife from getting harmed. The cameras installed in a close distance with one another and the infrared sensors help determine how far away and at what time the animal was detected, which then gets displayed for the vehicles on road on the LCDs. Firstly, in a particular range camera would be installed connected to the LCDs at the roadsides, visible to the vehicles passing by the area near wildlife. With the assistance of PIR motion sensors, the system would detect the presence of the any wildlife nearby and send the information regarding the animal detected to the LCD screens with the date and time when the animal was detected. Thus, making the drivers more alert and careful while driving and reducing the potential accidents that occur on road. The camera and sensors are placed in the area of animal activity. Camera detects the moving object in the area and tells the system about motion. PIR sensor used to detect the heats of the body present there which used to identify living being or not. Ultrasonic sensors are also used to find out the distance of animal or creature present there. When the inputs of hardware transfer to main system it confirms it as danger or not with help of AI and proceed the single forward to the main warning screen though the wi-fi modem and it appears on the screen with the sign of animal or with the warning note only if the detection if confirmed.
Figure 1, illustrates the working of the system. The camera and sensors are placed in the area of animal activity. Camera detects the moving object in the area and tells the system about motion. PIR sensor used to detect the heats of the body present there which used to identify living being or not. Ultrasonic sensors are also used to find out the distance of animal or creature present there. When the inputs of hardware transfer to main system it confirms it as danger or not with help of AI and proceed the single forward to the main warning screen though the wi-fi modem and it appears on the screen with the sign of animal or with the warning note only if the detection if confirmed.
Figure 2, explains the several components the system works on:
• Computing Unit: This component is responsible for all the working of the system; the sensors and rest of the modules are controlled by the computing unit or control unit. The coding for running the system processes is embedded in this unit.
• Camera module: This module allows you to capture images in VGA format (640x480). It can perform some initial processing and transfer the images to microcontrollers, such as the Arduino, via the SCCB interface.
• PIR Motion Sensor: PIR Sensors allows us to sense motions, almost always used to detect whether a human has moved in or out of the sensor range. They are small, inexpensive, low power, easy to use and do not wear out. For the reason they are commonly found in appliances and gadgets used in homes or businesses. They are often referred to as PIR, “Passive Infrared”, “Pyroelectric”, or “IR Motion” sensors.
• An ultrasonic sensor is an electronic device that measures the distance of a target object by emitting ultrasonic sound waves, and converts the reflected sound into an electrical signal. Ultrasonic waves travel faster than the speed of audible sound (i.e., the sound that humans can hear). Ultrasonic sensors have two main components: the transmitter (which emits the sound using piezoelectric crystals) and the receiver (which encounters the sound after it has travelled to and from the target).
• Artificial Intelligence systems makes decisions by using a "neural network." A neural network is a computer with an internal structure that imitates the human brain's interconnected system of neurons. In a neural network, transistor circuits (gates on a computer chip) are the electronic analog of neurons. Neural networks do not follow rigidly programmed rules as more conventional digital computers do. Rather, they build a knowledge base through a trial-and-error method. A programmer, for instance, will digitally input a photographic image for a neural network to identify and it will "guess" for which circuits to "fire" (activate). It will then identify the photograph and output the correct answer.
• Wi-Fi Module: It provides internet connectivity to the system; it is responsible for sending the data to the LCDs.
• External power supply: It is used for supplying power to the whole system and its components so as to run the system.

Advantages of the Invention:
• Reduced collisions: The rapid increase of accidents on the highways where the wildlife and the vehicles are getting damaged has raised concern to the state government. Wildlife for detecting wildlife would be useful for the vehicles as further accidents would be avoided knowing the position of the animal and the time it was detected.
• Low cost: The sensors used are not costly and easy to maintain and they give almost accurate results.
• Flexibility: The cameras are waterproof and support night vision, so the tracking of the animal nearby is possible in broad daylight and at night as well. Also, the system is not too complex and easy to spread to a farther range by installing additional LCDs, cameras and sensors.
• No Cognitive overload: There is zero cognitive overload as the information would be clearly displayed visually on the LCDs on the roadside.

We Claims:

1. A system for detecting animals in the wild and tracking position using vision is comprising with camera and sensors are placed in the area of animal activity; camera detects the moving object in the area and tells the system about motion; PIR sensor used to detect the heats of the body present there which used to identify living being or not; Ultrasonic sensors are also used to find out the distance of animal or creature present there.
2. The system as claimed in claim 1, wherein ultrasonic sensors are also used to find out the distance of animal or creature present there.
3. The system as claimed in claim 1, wherein inputs of hardware transfer to main system it confirms it as danger or not with help of AI and proceed the single forward to the main warning screen though the wi-fi modem.
4. The system as claimed in claim 1, wherein inputs appears on the screen with the sign of animal or with the warning note only if the detection if confirmed.

Documents

Application Documents

# Name Date
1 202211048921-FORM 18 [28-01-2025(online)].pdf 2025-01-28
1 202211048921-Proof of Right [21-10-2023(online)].pdf 2023-10-21
1 202211048921-STATEMENT OF UNDERTAKING (FORM 3) [26-08-2022(online)].pdf 2022-08-26
2 202211048921-REQUEST FOR EARLY PUBLICATION(FORM-9) [26-08-2022(online)].pdf 2022-08-26
2 202211048921-Proof of Right [21-10-2023(online)].pdf 2023-10-21
2 202211048921-COMPLETE SPECIFICATION [26-08-2022(online)].pdf 2022-08-26
3 202211048921-POWER OF AUTHORITY [26-08-2022(online)].pdf 2022-08-26
3 202211048921-DECLARATION OF INVENTORSHIP (FORM 5) [26-08-2022(online)].pdf 2022-08-26
3 202211048921-COMPLETE SPECIFICATION [26-08-2022(online)].pdf 2022-08-26
4 202211048921-FORM-9 [26-08-2022(online)].pdf 2022-08-26
4 202211048921-DRAWINGS [26-08-2022(online)].pdf 2022-08-26
4 202211048921-DECLARATION OF INVENTORSHIP (FORM 5) [26-08-2022(online)].pdf 2022-08-26
5 202211048921-DRAWINGS [26-08-2022(online)].pdf 2022-08-26
5 202211048921-EDUCATIONAL INSTITUTION(S) [26-08-2022(online)].pdf 2022-08-26
5 202211048921-FORM FOR SMALL ENTITY(FORM-28) [26-08-2022(online)].pdf 2022-08-26
6 202211048921-EDUCATIONAL INSTITUTION(S) [26-08-2022(online)].pdf 2022-08-26
6 202211048921-EVIDENCE FOR REGISTRATION UNDER SSI [26-08-2022(online)].pdf 2022-08-26
6 202211048921-FORM 1 [26-08-2022(online)].pdf 2022-08-26
7 202211048921-EVIDENCE FOR REGISTRATION UNDER SSI [26-08-2022(online)].pdf 2022-08-26
7 202211048921-EVIDENCE FOR REGISTRATION UNDER SSI(FORM-28) [26-08-2022(online)].pdf 2022-08-26
8 202211048921-EVIDENCE FOR REGISTRATION UNDER SSI [26-08-2022(online)].pdf 2022-08-26
8 202211048921-EVIDENCE FOR REGISTRATION UNDER SSI(FORM-28) [26-08-2022(online)].pdf 2022-08-26
8 202211048921-FORM 1 [26-08-2022(online)].pdf 2022-08-26
9 202211048921-EDUCATIONAL INSTITUTION(S) [26-08-2022(online)].pdf 2022-08-26
9 202211048921-FORM 1 [26-08-2022(online)].pdf 2022-08-26
9 202211048921-FORM FOR SMALL ENTITY(FORM-28) [26-08-2022(online)].pdf 2022-08-26
10 202211048921-DRAWINGS [26-08-2022(online)].pdf 2022-08-26
10 202211048921-FORM FOR SMALL ENTITY(FORM-28) [26-08-2022(online)].pdf 2022-08-26
10 202211048921-FORM-9 [26-08-2022(online)].pdf 2022-08-26
11 202211048921-DECLARATION OF INVENTORSHIP (FORM 5) [26-08-2022(online)].pdf 2022-08-26
11 202211048921-FORM-9 [26-08-2022(online)].pdf 2022-08-26
11 202211048921-POWER OF AUTHORITY [26-08-2022(online)].pdf 2022-08-26
12 202211048921-REQUEST FOR EARLY PUBLICATION(FORM-9) [26-08-2022(online)].pdf 2022-08-26
12 202211048921-POWER OF AUTHORITY [26-08-2022(online)].pdf 2022-08-26
12 202211048921-COMPLETE SPECIFICATION [26-08-2022(online)].pdf 2022-08-26
13 202211048921-STATEMENT OF UNDERTAKING (FORM 3) [26-08-2022(online)].pdf 2022-08-26
13 202211048921-REQUEST FOR EARLY PUBLICATION(FORM-9) [26-08-2022(online)].pdf 2022-08-26
13 202211048921-Proof of Right [21-10-2023(online)].pdf 2023-10-21
14 202211048921-STATEMENT OF UNDERTAKING (FORM 3) [26-08-2022(online)].pdf 2022-08-26
14 202211048921-FORM 18 [28-01-2025(online)].pdf 2025-01-28