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1. 发明专利

AU2020104346A4 SMART AND PORTABLE LONG DISTANCE SECURITY SYSTEM WITHOUT USING LASER LIGHT 未知
公开(公告)号：AU2020104346A4
公开(公告)日：2021-03-18
申请号：AU2020104346
申请日：2020-12-25
申请人： GOYAL RAVI KUMAR , ALAM M AFSHAR , YADAV DINESH , SIDDIQUI FARHEEN , SHARMA LOKESH , ISRAR MOHAMMAD , JAMADER ASIK RAHAMAN , DAS PUJA , NAFIS MD TABREZ
发明人： GOYAL RAVI KUMAR , ALAM M AFSHAR , YADAV DINESH , SIDDIQUI FARHEEN , NAFIS MD TABREZ , DAS PUJA , JAMADER ASIK RAHAMAN , ISRAR MOHAMMAD , SHARMA LOKESH
IPC分类号： G08B29/16 , H02J7/00
摘要： SMART AND PORTABLE LONG DISTANCE SECURITY SYSTEM WITHOUT USING LASER LIGHT In this embodiment includes a smart, small, portable long distance security system without using laser light. The present invention will cover the 15m of distance widely where if any object will pass through between the surface areas instantly it will alert the user by providing sound well. Here in this device a remote has been used where the remote any of the buttons has to short it or it will be pressed forever also it will run by the external battery while the battery can be changeable. Between the device and the remote 15m distance can be cover to provide the protection from any of the security violation where any object will pass through between the remote and the device, then the device will indicate the object after that instantly it will provide the sound to make alert the user. A charger point used to charge the present invention for future operation where a it will work as to charge the lithium battery through the BMS (Battery Management System) while the BMS (Battery Management System will maintain the overcharging and over discharging problem also it will take care the long life of the deice and prevent the short circuit problem. A IR 1838 sensor use to indicate the object between the remote and the device also it is work as to pass the positive current signal to the positive leg of the BC547 transistor where if the object come it will active and give sound by the 5 volt Buzzer attach with the device. A 47uf 25-volt capacitor used as high quality radial electrolytic capacitor which great as voltage noise suppressor for voltage regulator and for using as timing circuit.

2. 发明专利

AU2021101766A4 Cartoonify Image Detection Using Machine Learning 未知
公开(公告)号：AU2021101766A4
公开(公告)日：2021-05-20
申请号：AU2021101766
申请日：2021-04-06
申请人： AGARWAL PARUL DR , ALAM M AFSHAR PROF , BISWAS SIDDHARTHA SANKAR DR , DHAND GEETIKA DR , DOJA FARAZ MR , MUFTI TABISH MR , RATHEE SONIA DR , SHEORAN KAVITA DR , YADAV AMITA DR , ZAFAR SHERIN DR
发明人： AGARWAL PARUL , ALAM M AFSHAR , ZAFAR SHERIN , DHAND GEETIKA , YADAV AMITA , SHEORAN KAVITA , RATHEE SONIA , MUFTI TABISH , DOJA FARAZ , BISWAS SIDDHARTHA SANKAR
IPC分类号： G06T13/20 , G06K9/62 , G06N3/00 , G06N3/02 , G06N20/00 , G06T7/149 , G06T19/00
摘要： Our invention Cartoonify Image Detection Using Machine Learning is a face recognition process based on machine learning and the artificial neural network. It includes an independpaxel collection unit that produces pixels with facial features patterns and chooses a fixed number of selfpixels from the produced pixels. The innovation concerns an Eigen filtering device which filters an input image with selected pixels. The innovation often includes a product of a face recognition and a determining device receiving the identification product producing the final picture recognition result under machine learning 3-D avatar that resembles the physical presence of a person taken in more than one input picture or video frame can be produced automously. In the editing world, the invention is often an avatar that can be personalised and used in different apps, but are not restricted in games, social networking and video conferencing. The innovation includes the following steps: cartoon formation process 1) Collecting and processing the face images data. 2) producing a deformable mapping model from the real face image to cartoon face image. 3) the input real face image forms the deformable face image by said deformable mapping model. 4) the deformable face image in step 3 is pattern manipulated. The process of said face image data contains following steps: (1) Extracting the contour points of face image data; (2) aligning the contour of all face images following the average contour points. Said step 2) contains following steps: (1) extracting the key component of contour points of all face images. (2) obtaining the deformable mapping model from the real face image to cartoon face image. The advantages of invention are: realizing the synchronous coordinate variation of several faces characteristics, and obtaining the cartoon face images with shape grandiloquent effect and lamination effect. Convert Output valus 102 Add and select Reliablity Value calculate and Select grade End FIG. 1 is a block diagram of an example of a face recognition apparatus Resizing r olor ISRy Fine Cartoon Face Unit Space Texture Texture Detection FIG. 2 is a flow diagram of an exemplary preprocessing of input images for automatic avatar creation.

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