博碩士論文 109327011 完整後設資料紀錄

DC 欄位	值	語言
DC.contributor	機械工程學系	zh_TW
DC.creator	林志陽	zh_TW
DC.creator	Zhih-Yang Lin	en_US
dc.date.accessioned	2022-7-21T07:39:07Z
dc.date.available	2022-7-21T07:39:07Z
dc.date.issued	2022
dc.identifier.uri	http://ir.lib.ncu.edu.tw:444/thesis/view_etd.asp?URN=109327011
dc.contributor.department	機械工程學系	zh_TW
DC.description	國立中央大學	zh_TW
DC.description	National Central University	en_US
dc.description.abstract	本研究的目的為在攝影機上實現邊緣運算，在攝影機上加裝一顆(Micro Control Unit, MCU)，在拍攝後立即對相片進行數位影像處理，將相片壓縮，而數據減量後的相片能夠比原本的相片節省更多的傳輸時間。 本論文會利用降解析、JPEG壓縮、單色化、縱向橫向積分和快速傅立葉轉換減少相片的資料量，使得高解析的攝影機能夠使用在小型機器人或是大型系統上可以減少後級運算的負擔，讓機器人的控制能夠更為及時。 最後透過JPEG壓縮驗證實驗的可行性，只要相片的解析度大於64 * 64，壓縮加上傳輸JPEG檔案就可以比傳輸原始相片更加的快速，而且解析度越大效果越好。	zh_TW
dc.description.abstract	In this research, we focus on development of Edge computing on camera. Adding a MCU on the camera, so we can execute digital image processing to the photo immediately after taking photo. After compressing the photo, it can save more time than the photo without compressed. We use downsampling, JPEG compression, monochromatization, horizontal and vertical integration, and FFT to decrease the quantity of the photo. Thus, the higher resolution camera can use on small robot or big system and it can reduce the burden in the system. It will make the robot control timely. In the end of paper, we verify the performance of the JPEG compression. If the resolution of photo if bigger than 64 * 64, it can transfer faster than raw picture. When the photo has higher resolution, it’s performance will be better.	en_US
DC.subject	JPEG壓縮	zh_TW
DC.subject	FFT轉換	zh_TW
DC.subject	攝影機	zh_TW
DC.subject	JPEG	en_US
DC.subject	FFT	en_US
DC.subject	camera	en_US
DC.title	邊緣運算攝影機原型開發	zh_TW
dc.language.iso	zh-TW	zh-TW
DC.title	Edge computing camera prototype development	en_US
DC.type	博碩士論文	zh_TW
DC.type	thesis	en_US
DC.publisher	National Central University	en_US