ACCIDENT DETECTION USING ML AND AI TECHNIQUES
Rutik Desai1, Akash Jadhav2,Suraj Sawant3 ,Neha Thakur4
1BE Student, Information Technology, Datta Meghe College of Engineering, Navi Mumbai, Maharashtra
2 BE Student, Information Technology, Datta Meghe College of Engineering, Navi Mumbai, Maharashtra
3 BE Student, Information Technology, Datta Meghe College of Engineering, Navi Mumbai, Maharashtra
4 Professor, Information Technology, Datta Meghe College of Engineering, Navi Mumbai, Maharashtrair
Abstract – This paper employs computer vision in detecting accidents from CCTV footage and alerting Rescue systems. Computer vision is accelerating almost every domain within the industry. With the assistance of Computer Vision technologies, organisations are revolutionising the way machines accustomed to work earlier. Many times, after an accident occurs, people do not get Medical Aid services as early as possible or properly due to this lot of people losing their lives. In previous Technologies, Sensors are used for accident detection and alerts will be sent to the Relative of the Driver. But sensors can be damaged or sometimes it can not work. To overcome this we used Computer vision and AI techniques to detect Accidents and alert it through Android Application. We used the Yolov3 algorithm for detection of accidents and cars.
Key Words: YOLO, AI, ML, Firebase, OpenCV, Python.
Computer vision is a field of study which enables computers to replicate the human visual system. It’s a subset of artificial intelligence which collects information from digital images or videos and processes them to define the attributes. The entire process involves image acquiring, screening, analysing, identifying and extracting information. This extensive processing helps computers to know any visual content and act on that accordingly.
The motor vehicle population is growing at a faster rate than the economic and growth of population. Accidents and also the death rate due to road accidents, especially two-wheelers are also increasing at an alarming rate. Most of the accident deaths that happen are due to the shortage of immediate medical assistance, on the roads like express highways. A facility for providing immediate medical assistance to the accident area can reduce the fatality to a greater extent. Thus comes the concept of an alert system that senses the accident and its seriousness to alert the nearby center for providing ambulance or medical aid to the accident area.
To note, previous literature mainly focused on sensors and traditional approaches and some of them used algorithms like Yolov3, RCNN and many detection algorithms.
In this Project, the CCTV system will check whether an accident has occurred and identify the accident. Once the selection of accidents has been taken, the system will check for the closest center, police station and notify them about the incident. The rescue team can rush to the spot immediately with no delay because the right location is getting to be communicated by the Android Application. The system will send geolocation of accidents through Android applications to rescue systems.
Accident detection and alert systems have been extensively studied over the past several years. Research adds this field has proposed a Telematics model which contains a main module. The CCTV system is supposed to capture the situation of the accident and through GPS, send the location information to rescue systems. Another main feature is, cops also get live CCTV footage of the accident place.
Considering these, a vision-based accident detection model framework was developed for accident detection and alert systems. The paper is organized as follows: the second section discusses previous literature related to vision-based accident detection and alert systems. Section 3 introduces the motivational and problem definition of the project. Section 4 discusses the designs and methodology of the project. Section 5 discusses the results and observations of the project. Section 6 concludes the findings of this research.
@ engpaper.com published paper
 Akbarzhon Madaminov, “Recommendation Systems”, Engpaper Journal, https://www.engpaper.com/recommendation-systems.htm
 Aathi oli.S , “REVIEW PAPER ON PHISHING ATTACKS”, Engpaper Journal, https://www.engpaper.com/review-paper-on-phishing-attacks.htm
 Rania Fernando, “IoT based – Street Light Controlling System”, Engpaper Journal, https://www.engpaper.com/iot-based-street-light-controlling-system.htm
 K. SAI BHARGAV, V. RAJENDRA, “Study on Data Structures for Machine Learning”, Engpaper Journal, https://www.engpaper.com/data-structures-for-machine-learning.htm
Brundha P, Guruprasad K N, Amith V Hiremath,Sirisha R, Chandrakanth G Pujari , “Face Detection Based Smart Attendance System Using Haar Cascade Algorithm”, Engpaper Journal, https://www.engpaper.com/face-detection-based-smart-attendance-system.htm
 Afsana Nadaf , “RFID BASED LIBRARY MANAGEMENT SYSTEM”, Engpaper Journal, https://www.engpaper.com/rfid-based-library-management-system.htm
 Mr. Vedant Thube, Neha Thakur, Mr. Siddhesh Balsaraf,Ms. Priyanka Hanchate, Dr. S. D. Sawarkar , “Accident Prevention using Eye Drowsiness & Yawning Detection”, Engpaper Journal, https://www.engpaper.com/accident-prevention-paper.htm
 Abhishek A Hishobkar, Rutuja Gaonkar, Jagdish Chintamani , “DIGITAL DIARY”, Engpaper Journal, https://www.engpaper.com/digital-diary.htm
 Pooman Suryavanshi, Aryan Ghadge, Manali Kharat , “TAXI SERVICE for VISUALLY IMPAIRED”, Engpaper Journal, https://www.engpaper.com/taxi-service-for-visually-impaired.htm
 Mr. Pankaj yadav, Shila Jawale, Mr. Ashutosh Mahadik, Ms. Neha Nivalkar, Dr. S. D. Sawarkar , “NEWS ARTICLES CLASSIFICATION”, Engpaper Journal, https://www.engpaper.com/news-articles-classification.htm
 Rahul Chavan, Manvee Bhoir, Gaurav Sapkale, Anita Mhatre, “Smart Tourist Guide System”, Engpaper Journal, https://www.engpaper.com/smart-tourist-guide-system.htm
 Rutik Desai, Akash Jadhav,Suraj Sawant ,Neha Thakur , “Accident Detection Using ML and AI Techniques”, Engpaper Journal, https://www.engpaper.com/accident-detection-using-ml-and-ai-techniques.htm
 Anagha Vishe,Akash Shirsath, Sayali Gujar, Neha Thakur , “Student Attendance System using Face Recognition”, Engpaper Journal, https://www.engpaper.com/student-attendance-system-using-face-recognition.htm
 Ms.Sayali Patekar, Shila jawale, Ms.Pranali Kurhade, Mr.Shubham Khamkar , “Smart Classroom Application”, Engpaper Journal, https://www.engpaper.com/smart-classroom-application.htm
 DOSHI SAKSHI, DEVYANI CHAUDHARI, POOJA GAIKWAD, RUTUJA CHABUKSWAR,MRS. SUJATA KOLHE, “TOURISM SIMPLIFIED THROUGH VOICE”, Engpaper Journal, https://www.engpaper.com/tourism-simplified-through-voice.htm
 Afreen Fathima,Samreen Jameel, Pathan Ahmed khan , “ACCIDENT DETECTION AND ALERTING SYSTEM”, Engpaper Journal, https://www.engpaper.com/accident-detection-and-alerting-system.htm
 Suman Zareen, Tuba Masood, Pathan Ahmed khan, “E-Commerce Web Application with Augmented Reality”, Engpaper Journal, https://www.engpaper.com/e-commerce-web-application-with-augmented-reality.htm
 Lok Shan CHAN, “Selection of Waterfall and Agile Methodologies in Software Testing”, Engpaper Journal, https://www.engpaper.com/selection-of-waterfall-and-agile-methodologies-in-software-testing.htm
 Barve Rutu, “CLOUD COMPUTING SYSTEM FOR GAMING”, Engpaper Journal, https://www.engpaper.com/cloud-computing-system-for-gaming.htm
 Harshvardhan Singh, “Machine Learning: Fake News Blocking”, Engpaper Journal, https://www.engpaper.com/machine-learning-fake-news-blocking.htm
 M.Al Batahari, “SERVERS ROOM MONITORING SYSTEM USING IOT”, Engpaper Journal, https://www.engpaper.com/servers-room-monitoring-system-using-iot.htm
 AYUSHI ANKITA RAKSHIT, “VIRTUAL MASTER USING PYTHON”, Engpaper Journal, https://www.engpaper.com/virtual-master-using-python.htm
 Baldeep Kaur, “REAL TIME SLEEP DROWSINESS DETECTION USING FACE RECOGNITION”, Engpaper Journal, https://www.engpaper.com/real-time-sleep-drowsiness-detection-using-face-recognition.htm
 Suchitav Khadanga, “Two Stage CMOS Operational Amplifier From Specification to Design”, Engpaper Journal, https://www.engpaper.com/opamp-operational-amplifier-design.htm
 nidhi sharma, “Introduction to Remote Sensing”, Engpaper Journal, https://www.engpaper.com/introduction-to-remote-sensing.htm
 Rohith N Reddy, “COVID-19 Detection using SVM Classifier”, Engpaper Journal, https://www.engpaper.com/covid-19-detection-using-svm-classifier.htm
 Swapnil Kole, “COVID-19 Database on Consortium Blockchain”, Engpaper Journal, https://www.engpaper.com/covid-19-database-on-consortium-blockchain.htm
 TejalLengare, PallaviSonawane, PrachiGunjal, ShubhamDhire, Prof.Shaikh.J.N , “Accident Detection & Avoidance System in Vehicles”, Engpaper Journal, https://www.engpaper.com/accident-detection-and-avoidance-system-in-vehicles.htm
 Abhishek Pawshekar, Deepti More, Akash Khade, Pratiksha Wagh, Ganesh Ubale, “Augmented Reality: to converting and placing object into 3D model”, Engpaper Journal, https://www.engpaper.com/augmented-reality-survey.htm
 ABDUL KHADER.A.S, A.R.PRADEEP, Dr.T.V.Mallesh, S.R.Ramesh, “PARAMETRIC BEHAVIOUR OF BOX GIRDER BRIDGES UNDER DIFFERENT RADIUS OF CURVATURE & VARYING SPANS”, Engpaper Journal, https://www.engpaper.com/parametric-behaviour-of-box-girder-bridges.htm
 Prof.Ubale.G.S, Pranjal Adhav,Pooja Gaikwad, Sushama Nadavade ,Pooja Kale , “Iot based Bridge Monitoring System”, Engpaper Journal, https://www.engpaper.com/iot-based-bridge-monitoring-system.htm
 Divya Deewan, Priyanka Maheshwari, Sanjay Jain, “A REVIEW OF BATTERY-SUPERCAPACITOR HYBRID ENERGY STORAGE SYSTEM SCHEMES FOR POWER SYSTEM APPLICATION”, Engpaper Journal, https://www.engpaper.com/hybrid-energy-storage-system-schemes-for-power-system-application.htm
 Prof.Ansari.M.B, Pranjal Adhav,Pooja Gaikwad,Sushama Nadavade,Pooja Kale, “Survey on MyHelper IOT based Bridge Monitoring System”, Engpaper Journal, https://www.engpaper.com/survey-on-myhelper-iot-based-bridge-monitoring-system.htm
 Shreyas.S.J, Saddam hussain, Chaithra E, “COMPARATIVE STUDY ON SEISMIC RESPONSE OF MASONRY INFILLED RC FRAME BUILDINGS AND MIVAN BUILDINGS WITH DIFFERENT PERCENTAGE OF WALL OPENINGS”, Engpaper Journal, https://www.engpaper.com/seismic-response-of-masonry-infilled-rc-frame-buildings-and-mivan-buildings.htm
 Yusuf Ali Hassan, “Somali Power-Grid Significant Challenges”, Engpaper Journal, https://www.engpaper.com/somali-power-grid-significant-challenges.htm
 Ahmed N. Elhefnawy, “Refractive IR Objective Optical Design Operating in LWIR band For Military Observation Applications”, Engpaper Journal, https://www.engpaper.com/refractive-ir-objective-optical-design.htm
 S MANJULA, D SELVATHI and SUCHITAV KHADANGA, “Design of low-power CMOS transceiver front end for 2.4-GHz WPAN applications”, Engpaper Journal, https://www.engpaper.com/low-power-cmos-transceiver-front-end.htm
 Suchitav Khadanga, “Fabrication of MEMS Pressure Sensor on thin film membrane”, Engpaper Journal, https://www.engpaper.com/fabrication-of-mems-pressure-sensor-on-thin-film-membrane.htm
 Suchitav Khadanga and Dr. K.R.Suresh Nair, “An Introduction to Bluetooth”, Engpaper Journal, https://www.engpaper.com/an-introduction-to-bluetooth.htm
 Suchitav Khadanga and S. Ahmad, “DESIGN AND FABRICATION OF LOW COST MICROWAVE OSCILLATOR”, Engpaper Journal, https://www.engpaper.com/design-and-fabrication-of-low-cost-microwave-oscillator.htm
 Ameen Ahmed, Noushad S, Suchitav Khadanga, K.R.Suresh Nair, P.K.Radhakrishnan, “DEVELOPMENT OF LOW PHASE NOISE SMALL FOOT PRINT SURFACE MOUNT VOLTAGE CONTROLLED OSCILLATOR”, Engpaper Journal, https://www.engpaper.com/development-of-low-phase-noise-small-foot-print-surface-mount-voltage-controlled-oscillator.htm
 Suchitav Khadanga , “Synchronous programmable divider design for PLL Using 0.18 um cmos technology”, Engpaper Journal, https://www.engpaper.com/synchronous-programmable-divider-design-for-pll.htm
 Kavya.G.R, Shivaraju.G.D, Dr. T V Mallesh, S R Ramesh, “PROGRESSIVE COLLAPSE RESISTANCE OF FLAT SLAB BUILDING”, Engpaper Journal, https://www.engpaper.com/progressive-collapse-resistance-of-flat-slab-building.htm Copyright protected @ ENGPAPER.COM and AUTHORS https://www.engpaper.com