AUTOMATED DOOR CONTROL SYSTEM WITH INTRUDER LOCK AND SMS NOTIFICATION

  • Type: Project
  • Department: Electrical Engineering
  • Project ID: ELE0272
  • Access Fee: ₦5,000 ($14)
  • Chapters: 4 Chapters
  • Pages: 39 Pages
  • Methodology: Scientific
  • Reference: YES
  • Format: Microsoft Word
  • Views: 1.3K
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AUTOMATED DOOR CONTROL SYSTEM WITH INTRUDER LOCK AND SMS NOTIFICATION


Abstract


This paper presents an innovative access control system, based on human detection and path analysis, to reduce false automatic door system actions while increasing the added values for security applications. The proposed system will first ask the visitor for a password after which it will ask the visitor to enter inside and when the sensor identify a person from the scene, it will the password the person key in with the predefined one on the system to see if they match and track his trajectory to predict his intention for accessing the entrance, and finally activate the door accordingly if it match but other way round it will send sms and start blowing alarm. The experimental results show that the proposed system has the advantages of high precision, safety, reliability, and can be responsive to demands, while preserving the benefits of being low cost and high added value.












Introduction
 
Automatic door control is widely used in public places such as grocery stores, businesses, transportation stations, airports, and wholesale department stores to eliminate the need of manually opening and closing actions. Contemporary sensor- based automatic door control technologies include infrared, ultrasonic/radio, or other wireless sensing methods. The first can be further divided into active and passive approaches. The active process emits infrared signals from the controller and captures the reflected signals to determine if there is any object close to the door. This approach is accurate and capable of identifying the position and the speed of the object but its high cost has made it less popular. The passive approach detects the infrared signals radiated by people and is the most widely used for being simple, effective, and low cost. The ultrasonic/radio approach, on the other hand, emits ultrasonic or radio waves to scan the environment and analyzes the returned signals for door access control.
Although these techniques are all successful in detecting objects, they are not capable of understanding the type and the intention of the objects. For instance, a puppy or a passing pedestrian may accidentally trigger the door and cause a false opening action. Frequent false action is not only annoying, and results in air conditioning energy waste, but also reduces equipment lifetime. This calls for the need of an automatic door control system based on the detection and intention analysis of people.
In this paper, door control is based on the confirmation that the detected object is indeed a welcomed visitor and the corresponding movement trajectory also indicates that he/she has the intention to go through the entrance. Furthermore, an infrared function has been added to prevent people from being trapped by the door before they leave the passage. In addition, a captured images can also be used to advance the system and for other applications such as customer analysis and crime investigation.
 LITERATURE REVIEW
Literature survey is carried out to gain information and knowledge. Before starting with the analysis and design of project, we referred many research papers, manuals, documents related to the concept of project.

AUTOMATED DOOR CONTROL SYSTEM WITH INTRUDER LOCK AND SMS NOTIFICATION
For more Info, call us on
+234 8130 686 500
or
+234 8093 423 853

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  • Type: Project
  • Department: Electrical Engineering
  • Project ID: ELE0272
  • Access Fee: ₦5,000 ($14)
  • Chapters: 4 Chapters
  • Pages: 39 Pages
  • Methodology: Scientific
  • Reference: YES
  • Format: Microsoft Word
  • Views: 1.3K
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    Details

    Type Project
    Department Electrical Engineering
    Project ID ELE0272
    Fee ₦5,000 ($14)
    Chapters 4 Chapters
    No of Pages 39 Pages
    Methodology Scientific
    Reference YES
    Format Microsoft Word

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