"A Test System Plan base on AI Image Recognition for Automatic A
「"A Test System Plan base on AI Image Recognition for Automatic A」於資料集「EPQSummary_WasteManagement」由單位「行政院環境保護署」的郭先生所提供，聯繫電話是02-2311-7722 EXT.2399，最近更新時間為：2022-01-15 01:13:53。 欄位Project Title的內容是"A Test System Plan base on AI Image Recognition for Automatic Audit Certification-Take Waste Electronic Appliances As an Example" ， 欄位Project Subject的內容是"At present, there are the following shortcoming in the inspection of non-conformance events by manual interpretation. It takes a long time to watch the monitor and it is easy to miss the non-conformance event due to human factors. Therefore, it is hoped that through this project, the AI intelligent image interpretation system will be developed to improve interpretation accuracy and interpretation efficiency, reduce manpower burden and shorten manual interpretation time. According to the above-mentioned items to be improved, the non-conformance events of this system are mainly aimed at whether there is a non-permitted entry and exit of truck during the non-audit certification period; whether people, trucks, and forklifts move in the material storage area during the non-permitted period, and whether the refrigerant escapes during the refrigerant extraction operation. To fulfill these requirements, this project develops an AI smart image interpretation system, which is divided into gate entrance and material storage areas AI smart image interpretation, as well as refrigerant AI smart image interpretation, to deal with the above-mentioned abnormal events. In this project, the CCTV monitor screens of the treatment plant obtained from Chunghwa Telecom’s clairvoyance (中華電信千里眼) are used as system input. When a suspected non-conformance event is detected, the time of occurrence and the current monitor screen will be automatically interpreted and recorded, and then the interpreted results and non-conformance screens are collected and stored. In the future, if the treatment plant disagrees with the interpretation results, the auditors will no longer need to watch the complete monitor screen. They only need to screen the specified non-conformance events through the system, and then they can directly access the shortened video sequence for re-judgment to reduce labor burden and reach the purpose of shortening manual interpreting time. The advantage of this system is that the above two systems can be executed under the hardware specifications of the current treatment plant, to help the auditors improve the efficiency of interpretation without the need of upgrading the hardware equipment. After verification, the proposed system can reduce the length of the video by 97% and greatly reduce the time spent in interpretation by the auditors. It can effectively improve the concentration of watching videos and increase the efficiency of interpretation by auditors. " ， 欄位Project Year的內容是2021 ， 欄位Organizer的內容是"Recycling Fund Management Board" ， 欄位Executive Unit的內容是"國立臺北科技大學" ， 欄位Reporting download URL的內容是https://epq.epa.gov.tw/project/filedownload.aspx?fid=266388 ， 欄位Publish Date的內容是20220131 。
Project Title
"A Test System Plan base on AI Image Recognition for Automatic Audit Certification-Take Waste Electronic Appliances As an Example"
Project Subject
"At present, there are the following shortcoming in the inspection of non-conformance events by manual interpretation. It takes a long time to watch the monitor and it is easy to miss the non-conformance event due to human factors. Therefore, it is hoped that through this project, the AI intelligent image interpretation system will be developed to improve interpretation accuracy and interpretation efficiency, reduce manpower burden and shorten manual interpretation time. According to the above-mentioned items to be improved, the non-conformance events of this system are mainly aimed at whether there is a non-permitted entry and exit of truck during the non-audit certification period; whether people, trucks, and forklifts move in the material storage area during the non-permitted period, and whether the refrigerant escapes during the refrigerant extraction operation. To fulfill these requirements, this project develops an AI smart image interpretation system, which is divided into gate entrance and material storage areas AI smart image interpretation, as well as refrigerant AI smart image interpretation, to deal with the above-mentioned abnormal events. In this project, the CCTV monitor screens of the treatment plant obtained from Chunghwa Telecom’s clairvoyance (中華電信千里眼) are used as system input. When a suspected non-conformance event is detected, the time of occurrence and the current monitor screen will be automatically interpreted and recorded, and then the interpreted results and non-conformance screens are collected and stored. In the future, if the treatment plant disagrees with the interpretation results, the auditors will no longer need to watch the complete monitor screen. They only need to screen the specified non-conformance events through the system, and then they can directly access the shortened video sequence for re-judgment to reduce labor burden and reach the purpose of shortening manual interpreting time. The advantage of this system is that the above two systems can be executed under the hardware specifications of the current treatment plant, to help the auditors improve the efficiency of interpretation without the need of upgrading the hardware equipment. After verification, the proposed system can reduce the length of the video by 97% and greatly reduce the time spent in interpretation by the auditors. It can effectively improve the concentration of watching videos and increase the efficiency of interpretation by auditors. "
Project Year
2021
Organizer
"Recycling Fund Management Board"
Executive Unit
"國立臺北科技大學"
Reporting download URL
Publish Date
20220131
「"A Test System Plan base on AI Image Recognition for Automatic A」所屬的資料集：「EPQSummary_WasteManagement」的其他資料
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