University of Twente Student Theses
Real-time photographing and filming detection on mobile devices
Ben, Wenhao (2022) Real-time photographing and filming detection on mobile devices.
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| Abstract: | With the popularity of cameras and smart devices with built-in cameras, it has become easier to capture face images, the accompanying potential privacy issues have gradually attracted social attention. To protect personal information, a deep learning neural network architecture based on YOLO v5 is designed for real-time object detection system against cameras. The mobile camera fixed on the smart glasses transmits images in real-time to the Android mobile phone for object recognition. The Android mobile phone feeds back the detection signal to the smart glasses, and the smart glasses change the light transmittance to cover the user’s eyes to protect personal information. According to the experimental results of the research, the final detection accuracy of glasses objects can reach up to 0.96, meet the basic needs of the product. |
| Item Type: | Essay (Bachelor) |
| Faculty: | EEMCS: Electrical Engineering, Mathematics and Computer Science |
| Programme: | Electrical Engineering BSc (56953) |
| Link to this item: | https://purl.utwente.nl/essays/91956 |
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