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Abhang, Shilpa
- Keyless House Entry-An Application of RFID
Abstract Views :433 |
PDF Views:182
Authors
Affiliations
1 Jyothi Nivas College, Bangalore, IN
1 Jyothi Nivas College, Bangalore, IN
Source
Adarsh Journal of Information Technology, Vol 3, No 2 (2015), Pagination: 6-9Abstract
The RFID (Radio Frequency Identification) technology could enable better accuracy of inventory, increase security and reduce data centre operational and auditing cost It is a fact Of a life house keys are lost or damaged .This paper gives solution on this problem. Using RFID we can create a wristband empowered as an electronic room key. Then we never have to worry about where we have left the key or where to place it. Wristband is always on the wrist which eliminates lost keys and increase security. By simply presenting the wristband to the RFID enabled door lock each one has secure access to their house.Keywords
RFID, Barcode, RFID Tags.Full Text
- AI-Based Video Summarization for Efficient Content Retrieval
Abstract Views :50 |
PDF Views:1
Authors
Affiliations
1 Department of Computational Intelligence, SRM Institute of Science and Engineering, Kattankulathur Campus, IN
2 Department of MCA, Jyoti Nivas College, IN
3 Department of Electronics and Communication Engineering, ACE Engineering College, IN
4 Department of Electronics and Communication Engineering, VSB College of Engineering Technical Campus, IN
5 Department of Electrical and Electronics Engineering, MAI-NEFHI College of Engineering and Technology Asmara, ER
1 Department of Computational Intelligence, SRM Institute of Science and Engineering, Kattankulathur Campus, IN
2 Department of MCA, Jyoti Nivas College, IN
3 Department of Electronics and Communication Engineering, ACE Engineering College, IN
4 Department of Electronics and Communication Engineering, VSB College of Engineering Technical Campus, IN
5 Department of Electrical and Electronics Engineering, MAI-NEFHI College of Engineering and Technology Asmara, ER
Source
ICTACT Journal on Image and Video Processing, Vol 14, No 2 (2023), Pagination: 3137-3142Abstract
The explosive growth of video data poses a significant challenge in retrieving relevant content swiftly. Existing methods often fall short in providing concise yet informative summaries and efficient retrieval mechanisms. The primary issue lies in the overwhelming volume of video data, making it cumbersome for users to identify and access pertinent information efficiently. Traditional summarization techniques lack the sophistication to capture the nuances of video content, leading to a gap in effective content retrieval. Our approach involves training a Deep Belief Network (DBN) to autonomously generate concise yet comprehensive video summaries. Simultaneously, the Radial Basis Function (RBF) is employed to develop an efficient content retrieval system, leveraging the learned features from the video summarization process. The integration of these two methods promises a novel and effective solution to the challenges posed by the burgeoning volume of video content. Preliminary results demonstrate a significant improvement in the efficiency of content retrieval, with the integrated DBN and RBF approach outperforming traditional methods. The video summaries generated by the DBN exhibit enhanced informativeness, contributing to more accurate and rapid content retrieval.Keywords
Video Summarization, DBN, Content Retrieval, RBF, Multimedia Content
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