ANALYSIS TRANSFER DATA IMAGE PROCESSING AND FACE RECOGNITION USING CAMERA ESP32CAM WEB BROWSER IOT

Abstract. For the current attendance needs of employees, the use of face detectors andface recorders has been widely used. However, attendance with the use of the face recorderis taking on a larger and larger shape, but the development of the ESP32CAM compo-nent is one of the main solutions for the use of face recognition and face recorder withsmall and easy-to-obtain components without incurring high costs. However, mistakesfrequently occur when the face cannot be recognized quickly and the influence of light isnot favorable. As a result of these issues, the goal of this research is to examine the datatransfer and visual transfer of the ESP32CAM using the IoT web browser. Some datawere obtained from the test. Data transfer speed, visual transfer speed, face recognition,and face detection are all factors to consider. The data generated during the morningtest is 1400 b/s and 5 fps. The maximum that has occurred up to that point is the 70-second test. The data obtained during the night test is a data transfer speed of 300 b/sand a visual transfer speed of 3 fps for 90 seconds. When the test is finished, the morningtest has an 80 percent presentation and the night test has a 15 percent presentation ata frame rate of 1500 b/s fps. The test was successful because it is capable of performingface recognition and detection. It has limitations in nighttime testing due to the lack oflight assistance on the camera sensor. It is hoped that the output of the mechatronic andelectrical systems will be used in everyday life as a result of this test.
Keywords: Image processing, ESP32CAM, Transfer data, Face recognition, Face de-tection