RUNNER BIB NUMBER RECOGNITION SYSTEM

Anuntapat Anuntachai,Wanatphong Chaorattana,Jutatip Boonchoay 제어로봇시스템학회 2017 제어로봇시스템학회 국제학술대회 논문집 Vol.2017 No.10

This research represents the runner BIB number recognition system to develop image processing study which solves problems and increases efficiency about runner image management in running fairs. The runner BIB number recognition system processes runner image to recognize BIB number and time when runner appears in media. The information from processing has collected to applicative later. BIB number position is on BIB tag which attach on runner body. To recognize BIB number, the system detects runner position first. This process emphasize on runner face detection in images following to concept of researcher then find BIB number in body-thigh area of runner. The system recognizes BIB number from BIB tag which represents in media. This processing presents 0.80 in precision value, 0.81 in recall value and F-measure is 0.80. The results display the runner BIB number recognition system has developed with high efficiency and can be applied for runner online communities in actual situation. The runner BIB number recognition system decreases problems about runner image processing and increases comfortable for runners when find images from running fairs. Moreover, the system can be applied in commercial to increase benefits in running business.

An Image-based Sea Turtle Identification using Postorbital Facial Feature Points Matching Technique

Anuntapat Anuntachai,Natapon Pantuwong 제어로봇시스템학회 2019 제어로봇시스템학회 국제학술대회 논문집 Vol.2019 No.10

Our natural environment and ecological system has recently become an alarming global concern due to the increase in worldwide pollution levels. Identifying individual wildlife is essential for understanding population and conservation planning. This paper takes this problem into account which focuses on the sea turtle. Traditionally, sea turtle individuals are identified through the application of external flipper tags or internal passive integrated transponders. However, such devices might be lost. This paper proposes a method to perform sea turtle identification using image recognition technique. This idea could be possible because each sea turtle has a unique postorbital facial pattern. To avoid light condition and color problem, we create a mesh of facial pattern, and use it as an image for matching process. The proposed method uses a modification of SIFT feature extraction technique to extract feature vector from the input facial image. The modification of SIFT is proposed to increase robustness against affine transform. The Euclidean distance with Optimize Random Sample Algorithm is used to calculate the matching score. According to the experimental result, the overall accuracy is 99.92%, which shows the good performance of our method.

MOBILE APPLICATION FOR RECOVERING PARALYSIS PATIENT’S MOTION

Anuntapat Anuntachai,Thiti Jantamongkollert,Mathurin Sungkhawijit 제어로봇시스템학회 2018 제어로봇시스템학회 국제학술대회 논문집 Vol.2018 No.10

Paralysis is a symptom when patient’s central nervous system is failure because of blood deficiency. The patients cannot comfortably move their bodies due to muscle hyposthenia. The restoration requires regularly physical therapy which needs high accuracy because muscles have dysfunctional. This thesis represents the mobile application which help to muscle restoration of paralysis patient. This mobile application improves accuracy and efficiency of physical therapy. The physical therapy and muscle operation principles are collected and analyzed by this mobile application then collaborates with iBeacons sensors which properly control paralysis patient’s motion.

An Application of Pareto Solution with Adapted ACO for Searching Optimal Route of a Mobile Robot in Rough Terrain Environment

Anuntapat Anuntachai,Arit Thammano,Olarn Wongwirat 제어로봇시스템학회 2016 제어로봇시스템학회 국제학술대회 논문집 Vol.2016 No.10

A challenge in searching an optimal route of a mobile robot involves finding the route that has the shortest distance and consumes the least energy. To solve this problem, an ant colony optimization (ACO) algorithm can be used, but only on a flat terrain, since the energy depends directly on the distance. In a rough terrain, the least energy route might not be the shortest distance. Also, the shortest distance route might not be the least energy. This is due to a factor of slope in the route. Although our adapted ACO can be used for searching energy-efficient routes in the rough terrain, it is difficult to achieve the shortest distance simultaneously. This paper proposes a novel method to find an optimal route of a mobile robot in rough terrain environment by using a Pareto solution with adapted ACO. In the proposed method, the adapted ACO is used to search two sets of route, i.e., one contains the least energy and another one contains the shortest distance. Then, the Pareto solution is deployed to find the optimal route in terms of energy and distance by adopting a distance vector for selection. The experiment was performed by simulation to verify the proposed searching method. The experimental results show that the proposed searching method can prescribe the optimal value for choosing the route provided by adapted ACO.

ANALYZE TRAFFIC CONDITIONS AND EVENTS WITH SOUND PROCESSING

Anuntapat Anuntachai,Kittituch Pavaranchanak 제어로봇시스템학회 2020 제어로봇시스템학회 국제학술대회 논문집 Vol.2020 No.10

Traffic monitoring is a quiddity to understand occurrence of road transportation, for example, route decision in each festival, driving behavior, passerby quantity, traffic density and road contamination from road traffic, especially the accidents. Accident randomly happen in anytime and it dominates the high portion cause of death in each year. Accident is a cause of traffic jam. The assistance may come lately because no one cannot be noticed this event immediately. The traffic monitoring by applying sound analysis processing for accident sound with Convolutional Neural Network (CNNs) can significantly improve efficiency of traffic monitoring.

Adapted ACO Algorithm for Energy-Efficient Path Finding of Waste Collection Robot

Koki Tomitagawa,Anuntapat Anuntachai,Supannada Chotiphan,Olarn Wongwirat,Shigeru Kuchii 제어로봇시스템학회 2022 제어로봇시스템학회 국제학술대회 논문집 Vol.2022 No.11

Waste collection is a major concern of many companies with large areas of facility, e.g., buildings or factories, where there are many trash bins at various dumping points. Therefore, they require human labor to handle, which is a major cost of consideration. Currently, there are research works using robots for waste collection instead of humans. There is a challenge for waste collection robots in terms of energy consumption to pick up the waste at various dumping points efficiently. The factors related to the energy consumption of waste collection robots are directly related to the distance and waste weight that the robots have to collect and carry from the trash bins at various dump points along the paths. This paper presents the adapted ant colony optimization (ACO) algorithm to find the energy-efficient paths of the waste collection robots. The adapted ACO algorithm uses the waste weight in the trash bin as path heuristic information between two dumping points to determine the state transition probability for finding the most energy-efficient path. The experiment was conducted by the simulation to compare the result with the conventional ACO algorithm that uses distance as the path heuristic information. The simulation results expressed that the adapted ACO algorithm provided the most energy-efficient path under the number of nodes and waste weights specified better than the conventional ACO algorithm.

Searching Energy-Efficient Route for Mobile Robot with Ant Algorithm

Olarn Wongwirat,Anuntapat Anuntachai 제어로봇시스템학회 2011 제어로봇시스템학회 국제학술대회 논문집 Vol.2011 No.10

Recently, the ant algorithm has been widely used to solve the problem of searching for optimization route from various different paths. The ant algorithm can also be applied for searching an appropriate route that consumes less energy in mobile robot area, which is similar problem domain. However, in order to apply, the ant algorithm is required to adapt due to the factor of energy that must be considered in addition to the distance alone. This paper presents the adaptation of ant algorithm to solve the problem of searching energy-efficient route for mobile robot. The adapted ant algorithm deploys a speed, which is employed to find the energy to move the robot in each route, to generate pheromones used to define the probability that the ants will choose for the best route. Then, the distance is used as a weighting factor to discover the energy-efficient route in terms of distance and speed by simulation. The results from adapted ant algorithm are also used to compare with the conventional ant algorithm for investigation. The simulation results expressed that, when using the speed with the distance to weight, the average distance is shortest. Consequently, when transforming into the energy, the result is much lower as well. Therefore, the adaptation of ant algorithm can improve the result of searching problem for optimization route that consumes less energy, which is a limited resource of mobile robot.

Writing test with image processing technique

Kamolchanok Charoy-boon,Nattakan Kruesang,Anuntapat Anuntachai,Natte Raksadawan 제어로봇시스템학회 2023 제어로봇시스템학회 국제학술대회 논문집 Vol.2023 No.10