SMART TRAFFIC CONTROL FOR EMERGENCY VEHICLES USING INTERNET OF THINGS AND IMAGE PROCESSING

    公开(公告)号:AU2020103907A4

    公开(公告)日:2021-03-18

    申请号:AU2020103907

    申请日:2020-12-05

    Abstract: Smart traffic control for emergency vehicles using Internet of Things and Image Processing Abstract Due to the rapid increase in the population, more traffic on the roads has become a common problem in the present times. As the traffic increases on the roads, it creates hindrances for emergency vehicles like ambulances, police cars and fire brigades. The minimization of the travel time delay which arises due to the traffic for these emergency vehicles is the utmost necessity at this time. As uncovered by the National Institute of Emergency Medicine (NIEM), around 20% of patients requiring crisis treatment have passed on their way to the clinic due to delays because of gridlock and uncooperative drivers. To reduce the concerning proportion of such deaths, some countries opted for a separate lane system for emergency vehicles but all the countries cannot be benefited by the same solution. Some countries are populated exponentially, that despite having certain facilities, emergency vehicles cannot reach the desired location on time. The most fitting answer for the blockage issue is letting the clogged sides cross the convergence first. The thought incorporates finding the ideal way for the crisis vehicle from source to objective in the ongoing rush hour gridlock issue utilizing Dijkstra's Algorithm on the weighted diagram of continuous traffic information. The model further uses the Internet of Things and Digital Image Processing to make it work more conveniently. Here, is suggested a smart traffic control system which consists of adding IoT chips to traffic signals to modify the timer settings. These chips will work according to the resultant vector of the count of vehicles in a particular path with the need for emergency vehicles in that path. The count of the vehicles is to be calculated with the help of digital image processing of the live camera feed. The emergency vehicles are to be tracked by connecting them with the GPS and updating their location to the chips so that emergency vehicles can be prioritized. The traffic lights are supposed to work on the network of roads with the dynamic allocation of weights for one particular node i.e. between two consecutive traffic lights. The weight allocation of one particular node is to be updated globally on the network so that the track of all the nodes can be done in the real-time. Emergency Vehicle with Surveillance Tracker camera [L~a e 31Image Acquisitio Image Cropping Changesgeime ~Backracker Accordin tohheeshldn Priority Queue T IOT Relay Filtering Contour Priority Queue, contains the order in which the traffic light is to be changed at a particular junction lining Queue e Emergency ,le Tracker

    Motion planning and control algorithm for obstacle avoidance for point mobile robots

    公开(公告)号:AU2021101936A4

    公开(公告)日:2021-06-03

    申请号:AU2021101936

    申请日:2021-04-15

    Abstract: MOTION PLANNING AND CONTROL ALGORITHM FOR OBSTACLE AVOIDANCE FOR POINT MOBILE ROBOTS Abstract: Robots and robotics have gained more interest in recent years in society. The reason for this is due to robots replacing humans and their activities. This has a fall in the human resources but still, it is economic and helps in the technological growth of a country. The robots are emerging to be autonomous and when it comes to autonomous, ensuring the mobile robots (MRs) navigation strategy and its security. These two technologies become the most vital issues related to autonomous robots. Robot mobility control in an environment that is uncertain is the primary field to be considered and it helps in many branches like planning of path, tracking of a path, and avoiding obstacles. The autonomous robots gained interest becomes they are capable of completing the tasks that are scheduled, it helps in making decisions, and it navigates throughout without help from humans. There has been a lot of path planning algorithm being designed and developed so that the robots move out of their initially programmed environment which had cylinders and vertical wooden boards. The researchers made a sincere effort to make the robots move out of their artificial environment. The motion of the robots was difficult as the obstacles were moving rather than being static. Thus, the robots showed inaccurate mapping and uncertainly incomplete localization. /thus, this invention involves the development of the algorithm to plan the movement and gain control over the mobile robots (MR). The autonomous robots tend to move in an unknown environment, the robots plan their path without hitting the obstacles by computing the turning point by estimating the danger circle. MOTION PLANNING AND CONTROL ALGORITHM FOR OBSTACLE AVOIDANCE FOR POINT MOBILE ROBOTS CHECKWHETHERTHE YES SOURCE NODE IS ' END NO • IN THE PREVIOUS ITERATION, THE USED ANGULAR MOVEMENT IS REMOVED. THE ANGULAR • THE CURRENT ANGULAR MOVEMENT IS MOVEMENT IS STORED TO IDENTIFY THE NEXT CA LCULATED POSITION FOR THE MOBILE ROBOT C URRE NT PO SmION OF YES ' ANBLRT T HE MOBILE ROBOT IS MOVEMENT VALUE IDENTIFIED IS READ "i" LE SS THAN OR EQ UAL NO SET OF ALL To 8! DIRECTION -- THE DESIRED DIRECTION] SET IlS IDENTIFIED Figure 1: Algorithmic flowchart for mobile robot.

    A Novel Mycoherbicidal Composition for Suppressing Water Hyacinth

    公开(公告)号:AU2018267590B2

    公开(公告)日:2020-09-10

    申请号:AU2018267590

    申请日:2018-11-20

    Inventor: SINGH AJAY KUMAR

    Abstract: The present invention deals with a mycoherbicidal isolate of Setosphaeria monoceras sp. or extracts obtained there-from, useful for the control of Water hyacinth. The present invention also discloses biological control compositions comprising fungal isolate extract formulated in a growth medium for maintaining the viability of extract when the biological control composition is applied to weed. The present invention also discloses methods of screening fungal isolate to determine if they exhibit biocontrol activity. The present invention also discloses use of Setosphaeria monoceras strain. In yet a further aspect the invention relates to use of an Setosphaeria strain for producing a herbicidal agent effective for controlling growth of water hyacinth plants. The strain used preferably is a strain having the characterizing features of Setosphaeria strain AGWH# 11 as deposited at IMTECH under ac-cession number MTCC 597 4. The present invention to provide the 1 Ss rRNA sequence analysis showed 96% nucleotide similarity of the Fungi to Setosphaeria monoceras. (AGBIO designated AGWH#11/NCIMI370/MTCC 5974) but also indicated nucleotide variation of this fungus from other known genus of Bipolaris, Pleosporaceae, Cochiliobolus, Altemaria including an environmentally acceptable alternative to synthetic chemical herbicides for the control of weeds, such as Water hyacinth. The present invention also discloses methods of whole genome study of strain.

Patent Agency Ranking