Call for Papers:Vol.11 Issue.3

Submission
Last date		 28-Jun-2025
Acceptance Status In One Day
Paper Publish In Two Days
Submit ManuScript

News & Updates

Submit Article

Dear Authors, Article publish in our journal for Volume-11,Issue-3. For article submission on below link: Submit Manuscript


Join As Board

Dear Reviewer, You can join our Reviewer team without given any charges in our journal. Submit Details on below link: Join As Board


Paper Publication Charges

IJARIIE APP
Download Android App

For Authors

Archives

IJARIIE Board

Downloads

Android App

Download IJARIIE APP

Authors

Title: :  Automatic Monitoring and control of Vehicle Entry/Exit In Forest Area with Raspberry-pi, python and open cv
PaperId: :  3584
Published in:   International Journal Of Advance Research And Innovative Ideas In Education
Publisher:   IJARIIE
e-ISSN:   2395-4396
Volume/Issue:    Volume 2 Issue 6 2016
DUI:    16.0415/IJARIIE-3584
Licence: :   IJARIIE is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Author NameAuthor Institute
Priyanka n. AloneShree Sant Gajanan maharaj college of engineering, Maharastra
Mr.V. M. UmaleShree Sant Gajanan maharaj college of engineering, Maharastra
Mr. A. N. DolasShree Sant Gajanan maharaj college of engineering, Maharastra

Abstract

Digital electronic
Image processing tool, OCR,tessoract ocr, Raspberry pi model b, python, open cv ,web page, web camera ,dc motor driver, LED, buzzer.
In this paper we propose a completely automated monitoring and control of vehicle entry-exit in restricted area using raspberry pi system. The project aims at designing a system which captures vehicle image along with its number plate automatically and further these details are verified with the database filled in online registration form consist of username, mobile number, vehicle number and full address. Farther the details are authenticated then it is processed by Raspberry Pi to authorise to enter the vehicle in the forest area. Once the information is filled in an online registration form the user gets a four digit random code as the receipt of conformation. That random code will be enter at the time of visiting. On the entrance gate camera capture image of vehicle and from that image the number plate is extracted then that extracted number is verified with the authorised registered number plate number. Raspberry Pi is connected with a server for verification of registered data with the image processing tool OCR. If the verification is susses fully done with the comparison of online registered data base and the extracted number plate number then visitor enter their four digit random code. If the code is match then the gate will be open. When the authorized vehicle was detected then the system operates the gate using DC motor. The system also alerts the authorities when any unauthorized image of number plate was detected using buzzer alarm system and led. The aim of this research is to develop and implement an authorized automatic gate control system that will increase security and convenience at entrance of all restricted forest places that require protection and Security. The auto gate control will be works without manual help and the system will help to recognizes license plates with the authority at entrance gate and take an action to permits the vehicle in a forest area.

Citations

Copy and paste a formatted citation or use one of the links to import into a bibliography manager and reference.

IJARIIE Priyanka n. Alone, Mr.V. M. Umale, and Mr. A. N. Dolas. "Automatic Monitoring and control of Vehicle Entry/Exit In Forest Area with Raspberry-pi, python and open cv" International Journal Of Advance Research And Innovative Ideas In Education Volume 2 Issue 6 2016 Page 1673-1679
MLA Priyanka n. Alone, Mr.V. M. Umale, and Mr. A. N. Dolas. "Automatic Monitoring and control of Vehicle Entry/Exit In Forest Area with Raspberry-pi, python and open cv." International Journal Of Advance Research And Innovative Ideas In Education 2.6(2016) : 1673-1679.
APA Priyanka n. Alone, Mr.V. M. Umale, & Mr. A. N. Dolas. (2016). Automatic Monitoring and control of Vehicle Entry/Exit In Forest Area with Raspberry-pi, python and open cv. International Journal Of Advance Research And Innovative Ideas In Education, 2(6), 1673-1679.
Chicago Priyanka n. Alone, Mr.V. M. Umale, and Mr. A. N. Dolas. "Automatic Monitoring and control of Vehicle Entry/Exit In Forest Area with Raspberry-pi, python and open cv." International Journal Of Advance Research And Innovative Ideas In Education 2, no. 6 (2016) : 1673-1679.
Oxford Priyanka n. Alone, Mr.V. M. Umale, and Mr. A. N. Dolas. 'Automatic Monitoring and control of Vehicle Entry/Exit In Forest Area with Raspberry-pi, python and open cv', International Journal Of Advance Research And Innovative Ideas In Education, vol. 2, no. 6, 2016, p. 1673-1679. Available from IJARIIE, http://ijariie.com/AdminUploadPdf/Automatic_Monitoring_and_control_of_Vehicle_Entry_Exit_In_Forest_Area_with_Raspberry_pi__python_and_open_cv_ijariie3584.pdf (Accessed : ).
Harvard Priyanka n. Alone, Mr.V. M. Umale, and Mr. A. N. Dolas. (2016) 'Automatic Monitoring and control of Vehicle Entry/Exit In Forest Area with Raspberry-pi, python and open cv', International Journal Of Advance Research And Innovative Ideas In Education, 2(6), pp. 1673-1679IJARIIE [Online]. Available at: http://ijariie.com/AdminUploadPdf/Automatic_Monitoring_and_control_of_Vehicle_Entry_Exit_In_Forest_Area_with_Raspberry_pi__python_and_open_cv_ijariie3584.pdf (Accessed : )
IEEE Priyanka n. Alone, Mr.V. M. Umale, and Mr. A. N. Dolas, "Automatic Monitoring and control of Vehicle Entry/Exit In Forest Area with Raspberry-pi, python and open cv," International Journal Of Advance Research And Innovative Ideas In Education, vol. 2, no. 6, pp. 1673-1679, Nov-Dec 2016. [Online]. Available: http://ijariie.com/AdminUploadPdf/Automatic_Monitoring_and_control_of_Vehicle_Entry_Exit_In_Forest_Area_with_Raspberry_pi__python_and_open_cv_ijariie3584.pdf [Accessed : ].
Turabian Priyanka n. Alone, Mr.V. M. Umale, and Mr. A. N. Dolas. "Automatic Monitoring and control of Vehicle Entry/Exit In Forest Area with Raspberry-pi, python and open cv." International Journal Of Advance Research And Innovative Ideas In Education [Online]. volume 2 number 6 ().
Vancouver Priyanka n. Alone, Mr.V. M. Umale, and Mr. A. N. Dolas. Automatic Monitoring and control of Vehicle Entry/Exit In Forest Area with Raspberry-pi, python and open cv. International Journal Of Advance Research And Innovative Ideas In Education [Internet]. 2016 [Cited : ]; 2(6) : 1673-1679. Available from: http://ijariie.com/AdminUploadPdf/Automatic_Monitoring_and_control_of_Vehicle_Entry_Exit_In_Forest_Area_with_Raspberry_pi__python_and_open_cv_ijariie3584.pdf
BibTex EndNote RefMan RefWorks

Number Of Downloads



Save in Google Drive

Similar-Paper

TitleArea of ResearchAuther NameAction
Interactive Joint Feature Extraction for Diabetic Retinopathy Classification using Multiple Instance Neural Symbolic LearningSri Venkatesa Perumal College of Engineering & TechnologyK Purushotham Download
SMART HOME SECURITY SYSTEMELECTRONICS AND COMMUNICATION ENGINEERINGArshi Download
Evaluation of Machine Learning Models for Air Quality Index PredictionElectronics and Communication EngineeringI.S.Priya Download
A Deep Learning Approach For Plant Leaf Disease Detection Using VGG16Electronics and Communication EngineeringA.Geethanjali Download
Data - driven Explainable Predictive Features For Water Quality Prediction Using Ensemble LearningSri Venkatesa Perumal college of Engineering & TechnologyT.V.Ananda Babu Download
Enhanced Intrusion and Anomaly Detection in Industrial IoT Using Ensemble Learning and LSTMElecfA.Nithyavel Krishna Download
Robust Glaucoma Prediction from Fundus Images using DenseNet201 &NASNetMobileElectronics and Communication Engineering A.Geethanjali Download
Optimized Metric Learning for Enhanced Coronary Heart Disease PredictionSri Venkatesa Perumal college of Engineering and TechnologyMr. T V Ananda Babu Download
Performance Analysis of LMS-MUSIC and LMS-MVDR DOA Estimation AlgorithmELECTRONICS ENGINEERINGKAMAL NIWARIA Download
IoT SMART GARDENING SYSTEMElectronics and Communication EngineeringS. SAI PRUTHVI Download
Classification and Recognisation of Lung Sounds Based on Improved Bi-ResNet modelSri Venkatesa Perumal college of Engineering and TechnologyMr. Y Maheshwar Download
E-Ration SystemElectronics Dr. Trupti K. Wable Download
Memory & computation-aware trust worthy university e-voting solution-solidity approachSri Venkatesa Perumal College of Engineering & TechnologyK Purushotham Download
Development of a Smart Portable IoT Enabled Electric Vehicle Charging StationElectronics and Telecommunication EngineeringManisha Mohan Bagul Download
Optimized Pattern Aware Brain Tumor Segmentation Using Enhanced U-net LearningImage processingY Maheswar Download
12