Development of Face Following Robot

dc.contributor.advisorAlmusawi , Husam Abdulkareem
dc.contributor.authorZhang, Zheyuan
dc.contributor.departmentDE--Műszaki Kar
dc.date.accessioned2023-12-20T13:59:31Z
dc.date.available2023-12-20T13:59:31Z
dc.date.created2023
dc.description.abstractThis face following robot project realises real time following of faces and human bodies by the robot in different environments through the integrated application of HOG (Histogram of Oriented Gradients) algorithms, video processing, servo control and sensor technologies. The project first establishes a clear workflow, including the steps of video head startup, image processing, servo control, and distance sensing. Through different and multiple experiments, the parameters of the HOG algorithm were adjusted, including the tolerance value, cell size and block size, these data improved the accuracy of detecting human targets and also improved the accuracy of the robot's work. Although the project achieved satisfactory results, there is still have some improvement. It is recommended to optimise the algorithms to make real time detection efficiency , and also increase flexibility of the robot in different surroundings, and to consider the introduction of more advanced hardware and machine learning techniques to improve system performance. Overall, the project provides useful experience in applying the HOG algorithm to real face following robot projects, and also suggests potential directions for future improvements.
dc.description.courseMechatronics Engineering
dc.description.degreeBSc/BA
dc.format.extent63
dc.identifier.urihttps://hdl.handle.net/2437/364154
dc.language.isoen
dc.rights.accessHozzáférhető a 2022 decemberi felsőoktatási törvénymódosítás értelmében.
dc.subjectRaspberry Pi
dc.subjectFace Following
dc.subjectOpencv
dc.subjectHog
dc.subject.dspaceDEENK Témalista::Engineering Sciences
dc.titleDevelopment of Face Following Robot
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