The document describes the design of an intelligent shopping trolley system that uses RFID and other technologies to automatically calculate bills, provide offer information to customers, and streamline the checkout process. The system is intended to make shopping faster, easier and cheaper by avoiding long payment lines, informing customers of deals, and allowing them to see billing details in advance. Key components of the system include an RFID reader, ZigBee module, display, and Arduino board to control operations and interface with a PC for processing payments.
The document describes an IoT-based smart car parking system using Raspberry Pi. The system aims to address issues with current manual parking systems like wasted time finding spots. It allows users to book parking spots online, see availability in real-time on a graphical interface, and pay electronically. Sensors detect occupied/empty spots which update the system in real-time. The system is cost-effective, saves user time, and maximizes parking space utilization.
The document describes a proposed smart parking system that uses LED lighting to dynamically designate parking spaces. It can adjust the number of parking spaces based on real-time needs, and uses an automated system to guide vehicles and control traffic flow. The system aims to address common parking issues like finding available spots, locating vehicles, and maximizing space utilization. It incorporates technologies like sensors, computerized controls, GPS, and mobile apps to provide services like reservations, payment, and notifications.
The document describes a smart parking system project that uses ultrasonic sensors and LED lights to detect available parking spaces and indicate their status. The system aims to help drivers more easily find vacant spaces to reduce traffic and pollution from cars circling for parking. It will use an LCD display at the entrance to direct drivers to the closest available space. Ultrasonic sensors will be installed under each space to detect vehicle occupancy and send signals to LED lights above to mark the space as vacant, occupied, or reserved. The project evaluates different sensor technologies before selecting ultrasonic for its low cost and non-intrusive installation compared to other options.
Number Plate Recognition (NPR) is a computer vision technology that captures images of vehicles using a camera. It extracts the vehicle's number plate to identify the owner's details by matching it to a database. The system works by capturing images, preprocessing them, detecting the number plate using YOLO, recognizing the characters, and outputting the results to a database. It has benefits like saving time, reducing errors, and aiding in tracking criminals. Potential future improvements include enhancing plate recognition for different fonts/sizes and speeding up the system.
IRJET - Smart Car Parking System using ArduinoIRJET Journal
This document describes a smart car parking system using Arduino that detects available parking spots using IR sensors and updates the information online. The system uses an RFID reader to identify vehicles and a microcontroller to operate the IR sensors and update a webpage displaying available spots to users. When a user scans their RFID tag, it displays their information on the webpage and opens the gate. IR sensors detect when a spot is occupied and update the webpage. The system aims to help users find available parking more efficiently to reduce congestion and pollution from vehicles driving around searching for spots.
project on smart car parking. automatic bill generation technique. individual timer system to calculate time. even odd day wise parking as per parking rule by government of india
The document describes the design of an intelligent shopping trolley system that uses RFID and other technologies to automatically calculate bills, provide offer information to customers, and streamline the checkout process. The system is intended to make shopping faster, easier and cheaper by avoiding long payment lines, informing customers of deals, and allowing them to see billing details in advance. Key components of the system include an RFID reader, ZigBee module, display, and Arduino board to control operations and interface with a PC for processing payments.
The document describes an IoT-based smart car parking system using Raspberry Pi. The system aims to address issues with current manual parking systems like wasted time finding spots. It allows users to book parking spots online, see availability in real-time on a graphical interface, and pay electronically. Sensors detect occupied/empty spots which update the system in real-time. The system is cost-effective, saves user time, and maximizes parking space utilization.
The document describes a proposed smart parking system that uses LED lighting to dynamically designate parking spaces. It can adjust the number of parking spaces based on real-time needs, and uses an automated system to guide vehicles and control traffic flow. The system aims to address common parking issues like finding available spots, locating vehicles, and maximizing space utilization. It incorporates technologies like sensors, computerized controls, GPS, and mobile apps to provide services like reservations, payment, and notifications.
The document describes a smart parking system project that uses ultrasonic sensors and LED lights to detect available parking spaces and indicate their status. The system aims to help drivers more easily find vacant spaces to reduce traffic and pollution from cars circling for parking. It will use an LCD display at the entrance to direct drivers to the closest available space. Ultrasonic sensors will be installed under each space to detect vehicle occupancy and send signals to LED lights above to mark the space as vacant, occupied, or reserved. The project evaluates different sensor technologies before selecting ultrasonic for its low cost and non-intrusive installation compared to other options.
Number Plate Recognition (NPR) is a computer vision technology that captures images of vehicles using a camera. It extracts the vehicle's number plate to identify the owner's details by matching it to a database. The system works by capturing images, preprocessing them, detecting the number plate using YOLO, recognizing the characters, and outputting the results to a database. It has benefits like saving time, reducing errors, and aiding in tracking criminals. Potential future improvements include enhancing plate recognition for different fonts/sizes and speeding up the system.
IRJET - Smart Car Parking System using ArduinoIRJET Journal
This document describes a smart car parking system using Arduino that detects available parking spots using IR sensors and updates the information online. The system uses an RFID reader to identify vehicles and a microcontroller to operate the IR sensors and update a webpage displaying available spots to users. When a user scans their RFID tag, it displays their information on the webpage and opens the gate. IR sensors detect when a spot is occupied and update the webpage. The system aims to help users find available parking more efficiently to reduce congestion and pollution from vehicles driving around searching for spots.
project on smart car parking. automatic bill generation technique. individual timer system to calculate time. even odd day wise parking as per parking rule by government of india
This document describes a proposed smart parking system with the following key elements:
- The system uses ultrasonic sensors in each parking space to detect vehicles and coordinate payments and check in/out functions.
- Users can check in by entering their phone number, then pay automatically using RFID or by entering their card details. They can check out using their phone number.
- The spaces communicate information to a central coordinator, and a mobile app allows remote check in, payment and check out.
- Future improvements could include GPS location tracking, additional sensors for better detection, and integrating payments with bank accounts or existing systems.
IOT Based Smart Parking and Damage Detection Using RFIDMaheshMoses
The proposed Smart Parking framework comprises an IoT module that is utilized to screen and signalize the condition of accessibility of a single parking spot The damage detection of the car can be detected using a vibration sensor
The document describes a proposed smart parking system that uses wireless sensor networks, embedded web servers, a central web server, and a mobile phone application to help drivers find available parking spaces. Wireless sensor nodes deployed in each parking spot detect occupancy and report it in real-time to embedded web servers. This data is then sent to a central web server which displays current availability and allows reservations via mobile apps. The system aims to more efficiently guide drivers to vacant spots and reduce traffic from drivers searching for parking.
The document describes a proposed smart trolley project. The project aims to reduce billing time in supermarkets by allowing for self-checkout using barcode scanners on a smart trolley. The trolley would contain a Raspberry Pi, barcode readers, display, and connect to the store's system wirelessly for billing. It provides background on current tedious billing processes, then outlines the proposed hardware and software components of the smart trolley, including a Raspberry Pi, barcode scanners, battery, and Android application.
The document describes a smart car parking system using IoT. The system uses sensors like IR sensors and a wifi module connected to an Arduino board to detect available parking spots. This information is sent to a mobile app to guide drivers to empty spots, reducing congestion and emissions. The system's advantages include shorter wait times, fuel savings, and directing users to open spaces. It has applications in malls, restaurants, and theaters to more efficiently manage parking.
Ultrasonic sensors are used to detect vehicles in parking spaces and determine if they are occupied or vacant. The smart parking system uses ultrasonic sensors above each space to measure distance - a short distance means the space is occupied, while a longer distance means it is empty. When a vehicle enters or leaves a space, the ultrasonic sensor detects the change in distance and the LCD display is updated to show the space status as full or empty. The system aims to help drivers find vacant spaces more quickly.
This document presents a project proposal for a Smart Shopping System using RFID technology. The system aims to develop an automated billing process for supermarkets to expedite checkout. It proposes using RFID tags on products and a reader on a shopping cart. As products are added to the cart, their information is automatically detected and the running bill is updated. When checkout is ready, the final bill can be sent to the billing computer. This would eliminate long lines and reduce staff needs compared to traditional barcoded billing. The system architecture and methodology are presented, including hardware requirements like RFID tags and a reader, and software like a database and programming languages. Screenshots of prototype screens are also included. The conclusion states this system could benefit both
Online car parking reservation system ppt 9160262550 dineshDinesh Nalluri
This document describes a mini project for an online car parking reservation system. It includes an abstract that outlines the key features of the system, which allows users to book parking spaces online. It then lists the main modules as admin/guard, user, and payment. The introduction provides an overview of how the system will allow users to access information on available parking slots and book slots online. It compares the proposed system to existing systems that use RFID tags or sensors. The proposed system aims to ease the parking process by allowing users to reserve slots through a web application before entering a building. It analyzes the technical, economic and operational feasibility of the system. Finally, it provides details on the system requirements, data flow diagrams, tables,
This document describes an intelligent parking system called iPARK that uses IoT and AI technologies. iPARK aims to make parking more manageable by providing an available parking space list, automatically sensing vehicle movement, and allowing users to securely lock and unlock gates. It guides vehicles to the nearest available spot to reduce waiting times, fuel consumption, and carbon emissions. The system includes hardware components like Arduino Mega, Ethernet shield, LDR sensors and servo motors, along with software like PHP and MySQL. It uses techniques like registration, login, space selection, and gate locking/unlocking. Future work may include a distributed database to control spots nationwide, location-based parking searches, and automated payment services.
With the vast growing influx of population in the developed, industrially and technologically sound urban cities, an urgent need to make the cities smart is surmounted. The cities are made smart utilizing data sharing, artificial intelligence, machine learning, analytics, and thousands of RFID tags and sensors. One of the significant concerns of today's smart cities is the growing need to manage the vehicles on-road as well as to create sufficient and well-managed parking lots to prevent urban areas from traffic congestion. This leads to a call for highly automated parking management system self-sufficient in guiding the driver to an available parking space in the nearby area. This project deals with the prototype of the smart parking system (S.P system). The proposed smart parking system collects the parking availability status and assists drivers in finding parking space that effectively reduces the traffic problems and mismanagement across the cities to a great extent.
This document describes a smart parking system that uses various sensors and technologies to automatically manage vehicle parking. The system uses infrared sensors to detect vehicle presence and control entry and exit gates. A real-time clock tracks parking time and a microcontroller calculates parking fees. Reed switches sense vehicle positions and an LCD displays location and fare information. The system aims to implement systematic parking with one vehicle entering at a time.
This document discusses the concept of smart parking and outlines the key drivers and technologies that enable it. It describes how smart parking uses sensors and connectivity to monitor parking usage in real-time and provide drivers with available spaces and dynamic pricing information. This helps reduce congestion and increase revenue for cities. The document proposes a proof of concept for smart parking that considers the needs of users, businesses, and cities to provide an intuitive parking experience through seamless payments and navigation to available spots.
The document discusses Automatic Number Plate Recognition (ANPR) systems. It provides the following key points:
1. ANPR uses optical character recognition on images captured by specialized cameras to read license plates on vehicles.
2. The cameras capture images that are then processed by ANPR software to detect, segment, and identify the license plate numbers.
3. ANPR systems are commonly used for electronic toll collection, traffic management, parking enforcement, and border control by storing images and license plate data.
This document presents a design for an automatic car parking system using a microcontroller. The system uses infrared sensors, a stepper motor, LCD display, and other hardware to detect vehicles and automatically guide them into available parking spaces. When a vehicle arrives, the IR sensors detect it and the microcontroller checks for empty spaces. If available, it opens the gate using the stepper motor and guides the vehicle in while updating the space availability on the LCD display. The system aims to make parking more efficient, reduce congestion, and provide real-time space information to users.
This document describes a smart waste management system using sensors in dustbins. Dustbins are equipped with ultrasonic sensors to detect fill levels and GPS to track locations. When bins reach maximum capacity, the system notifies authorities to schedule collection. It aims to optimize collection routes and reduce costs, vehicles, and environmental impact compared to traditional waste management. Some challenges include cost effectiveness and difficulty standardizing practices across sites. Further development could expand to separate wet and dry waste collection to enable biogas recovery.
This document describes a smart car parking system using IoT. The system uses sensors to detect available parking spots and sends the information to a display and mobile app. Cars enter and exit the parking area through automated gates controlled by IR sensors. Users can check the app to see available spots and navigate to empty ones indicated by green LED lights, while occupied spots have red lights. This optimized system reduces traffic and pollution compared to traditional parking methods.
The document describes a driver drowsiness detection system that uses image processing and machine learning techniques. The system monitors a driver's eyes for blinking over 1 second to detect drowsiness, then triggers an alert to wake the driver. Such a system could help reduce the number of accidents caused by drowsy driving by alerting drivers when they show signs of fatigue. The system captures the driver's face, recognizes the eyes, detects blinking, and sounds an alarm if drowsiness is detected.
This document describes a proposed smart parking system that uses sensors and a mobile app to monitor parking space availability and allow users to reserve spaces. The system would help reduce traffic and congestion by letting drivers know where parking is available. Sensors attached to parking spaces would monitor occupancy and transmit that data through a network to the app. Users could search for available spaces near their destination, reserve a space, and pay for it through the app. The system aims to make parking easier and more efficient for drivers in urban areas.
The document describes a smart parking system that uses IoT sensors in parking spots to detect availability in real-time and send this information to a mobile app. This allows drivers to easily find empty spots instead of driving around searching. The system aims to reduce traffic and pollution while improving the urban parking experience. It outlines the goals of more efficient parking, reduced congestion and time savings for drivers. The document also discusses components, challenges, case studies and future developments of smart parking systems.
This document describes a proposed smart parking system with the following key elements:
- The system uses ultrasonic sensors in each parking space to detect vehicles and coordinate payments and check in/out functions.
- Users can check in by entering their phone number, then pay automatically using RFID or by entering their card details. They can check out using their phone number.
- The spaces communicate information to a central coordinator, and a mobile app allows remote check in, payment and check out.
- Future improvements could include GPS location tracking, additional sensors for better detection, and integrating payments with bank accounts or existing systems.
IOT Based Smart Parking and Damage Detection Using RFIDMaheshMoses
The proposed Smart Parking framework comprises an IoT module that is utilized to screen and signalize the condition of accessibility of a single parking spot The damage detection of the car can be detected using a vibration sensor
The document describes a proposed smart parking system that uses wireless sensor networks, embedded web servers, a central web server, and a mobile phone application to help drivers find available parking spaces. Wireless sensor nodes deployed in each parking spot detect occupancy and report it in real-time to embedded web servers. This data is then sent to a central web server which displays current availability and allows reservations via mobile apps. The system aims to more efficiently guide drivers to vacant spots and reduce traffic from drivers searching for parking.
The document describes a proposed smart trolley project. The project aims to reduce billing time in supermarkets by allowing for self-checkout using barcode scanners on a smart trolley. The trolley would contain a Raspberry Pi, barcode readers, display, and connect to the store's system wirelessly for billing. It provides background on current tedious billing processes, then outlines the proposed hardware and software components of the smart trolley, including a Raspberry Pi, barcode scanners, battery, and Android application.
The document describes a smart car parking system using IoT. The system uses sensors like IR sensors and a wifi module connected to an Arduino board to detect available parking spots. This information is sent to a mobile app to guide drivers to empty spots, reducing congestion and emissions. The system's advantages include shorter wait times, fuel savings, and directing users to open spaces. It has applications in malls, restaurants, and theaters to more efficiently manage parking.
Ultrasonic sensors are used to detect vehicles in parking spaces and determine if they are occupied or vacant. The smart parking system uses ultrasonic sensors above each space to measure distance - a short distance means the space is occupied, while a longer distance means it is empty. When a vehicle enters or leaves a space, the ultrasonic sensor detects the change in distance and the LCD display is updated to show the space status as full or empty. The system aims to help drivers find vacant spaces more quickly.
This document presents a project proposal for a Smart Shopping System using RFID technology. The system aims to develop an automated billing process for supermarkets to expedite checkout. It proposes using RFID tags on products and a reader on a shopping cart. As products are added to the cart, their information is automatically detected and the running bill is updated. When checkout is ready, the final bill can be sent to the billing computer. This would eliminate long lines and reduce staff needs compared to traditional barcoded billing. The system architecture and methodology are presented, including hardware requirements like RFID tags and a reader, and software like a database and programming languages. Screenshots of prototype screens are also included. The conclusion states this system could benefit both
Online car parking reservation system ppt 9160262550 dineshDinesh Nalluri
This document describes a mini project for an online car parking reservation system. It includes an abstract that outlines the key features of the system, which allows users to book parking spaces online. It then lists the main modules as admin/guard, user, and payment. The introduction provides an overview of how the system will allow users to access information on available parking slots and book slots online. It compares the proposed system to existing systems that use RFID tags or sensors. The proposed system aims to ease the parking process by allowing users to reserve slots through a web application before entering a building. It analyzes the technical, economic and operational feasibility of the system. Finally, it provides details on the system requirements, data flow diagrams, tables,
This document describes an intelligent parking system called iPARK that uses IoT and AI technologies. iPARK aims to make parking more manageable by providing an available parking space list, automatically sensing vehicle movement, and allowing users to securely lock and unlock gates. It guides vehicles to the nearest available spot to reduce waiting times, fuel consumption, and carbon emissions. The system includes hardware components like Arduino Mega, Ethernet shield, LDR sensors and servo motors, along with software like PHP and MySQL. It uses techniques like registration, login, space selection, and gate locking/unlocking. Future work may include a distributed database to control spots nationwide, location-based parking searches, and automated payment services.
With the vast growing influx of population in the developed, industrially and technologically sound urban cities, an urgent need to make the cities smart is surmounted. The cities are made smart utilizing data sharing, artificial intelligence, machine learning, analytics, and thousands of RFID tags and sensors. One of the significant concerns of today's smart cities is the growing need to manage the vehicles on-road as well as to create sufficient and well-managed parking lots to prevent urban areas from traffic congestion. This leads to a call for highly automated parking management system self-sufficient in guiding the driver to an available parking space in the nearby area. This project deals with the prototype of the smart parking system (S.P system). The proposed smart parking system collects the parking availability status and assists drivers in finding parking space that effectively reduces the traffic problems and mismanagement across the cities to a great extent.
This document describes a smart parking system that uses various sensors and technologies to automatically manage vehicle parking. The system uses infrared sensors to detect vehicle presence and control entry and exit gates. A real-time clock tracks parking time and a microcontroller calculates parking fees. Reed switches sense vehicle positions and an LCD displays location and fare information. The system aims to implement systematic parking with one vehicle entering at a time.
This document discusses the concept of smart parking and outlines the key drivers and technologies that enable it. It describes how smart parking uses sensors and connectivity to monitor parking usage in real-time and provide drivers with available spaces and dynamic pricing information. This helps reduce congestion and increase revenue for cities. The document proposes a proof of concept for smart parking that considers the needs of users, businesses, and cities to provide an intuitive parking experience through seamless payments and navigation to available spots.
The document discusses Automatic Number Plate Recognition (ANPR) systems. It provides the following key points:
1. ANPR uses optical character recognition on images captured by specialized cameras to read license plates on vehicles.
2. The cameras capture images that are then processed by ANPR software to detect, segment, and identify the license plate numbers.
3. ANPR systems are commonly used for electronic toll collection, traffic management, parking enforcement, and border control by storing images and license plate data.
This document presents a design for an automatic car parking system using a microcontroller. The system uses infrared sensors, a stepper motor, LCD display, and other hardware to detect vehicles and automatically guide them into available parking spaces. When a vehicle arrives, the IR sensors detect it and the microcontroller checks for empty spaces. If available, it opens the gate using the stepper motor and guides the vehicle in while updating the space availability on the LCD display. The system aims to make parking more efficient, reduce congestion, and provide real-time space information to users.
This document describes a smart waste management system using sensors in dustbins. Dustbins are equipped with ultrasonic sensors to detect fill levels and GPS to track locations. When bins reach maximum capacity, the system notifies authorities to schedule collection. It aims to optimize collection routes and reduce costs, vehicles, and environmental impact compared to traditional waste management. Some challenges include cost effectiveness and difficulty standardizing practices across sites. Further development could expand to separate wet and dry waste collection to enable biogas recovery.
This document describes a smart car parking system using IoT. The system uses sensors to detect available parking spots and sends the information to a display and mobile app. Cars enter and exit the parking area through automated gates controlled by IR sensors. Users can check the app to see available spots and navigate to empty ones indicated by green LED lights, while occupied spots have red lights. This optimized system reduces traffic and pollution compared to traditional parking methods.
The document describes a driver drowsiness detection system that uses image processing and machine learning techniques. The system monitors a driver's eyes for blinking over 1 second to detect drowsiness, then triggers an alert to wake the driver. Such a system could help reduce the number of accidents caused by drowsy driving by alerting drivers when they show signs of fatigue. The system captures the driver's face, recognizes the eyes, detects blinking, and sounds an alarm if drowsiness is detected.
This document describes a proposed smart parking system that uses sensors and a mobile app to monitor parking space availability and allow users to reserve spaces. The system would help reduce traffic and congestion by letting drivers know where parking is available. Sensors attached to parking spaces would monitor occupancy and transmit that data through a network to the app. Users could search for available spaces near their destination, reserve a space, and pay for it through the app. The system aims to make parking easier and more efficient for drivers in urban areas.
The document describes a smart parking system that uses IoT sensors in parking spots to detect availability in real-time and send this information to a mobile app. This allows drivers to easily find empty spots instead of driving around searching. The system aims to reduce traffic and pollution while improving the urban parking experience. It outlines the goals of more efficient parking, reduced congestion and time savings for drivers. The document also discusses components, challenges, case studies and future developments of smart parking systems.
This document describes a smart parking system created by a group of students that uses cameras and artificial intelligence to manage a parking lot. The system recognizes vehicle numbers using embedded cameras, tracks which space a vehicle parks in, and updates parking information. It can also detect collisions. The system aims to introduce an intelligent parking management solution using technologies like sensors, IOT, and mobile applications to help drivers find available spaces and pay for parking remotely.
Automatic Smart Car Parking System Using Iot And PythonMary Calkins
This document summarizes a research paper on an automatic smart car parking system using IoT and Python. The system uses sensors to detect available parking spaces and guides drivers to their assigned space using LED displays. It aims to reduce the time spent searching for parking. When a vehicle arrives, the system uses an automatic license plate recognition system to identify the vehicle and check for available spaces. It then calculates the optimal path to an available space using Dijkstra's algorithm and provides directions via LED displays along the way. The system is intended to reduce human workload and provide a more efficient parking experience.
Intelligent car parking systems leverage sensors and data analysis algorithms to optimize parking allocation and provide a seamless parking experience through integration with mobile apps and payments. These systems first emerged in major US cities in the 1920s and work by using cameras and sensors to detect available spots and guide drivers to them while collecting real-time data to predict parking needs. They enable users to reserve spots and pay for parking via mobile apps or payment kiosks. While providing benefits like reduced pollution and parking times, intelligent parking systems also require expensive installation and regular maintenance.
Smart Car Parking system using GSM Technologydbpublications
In this paper, we present PGS, a Parking Guidance System based on wireless sensor network(WSN) which guides a driver to an available parking lot. The system consists of a WSN based VDS (vehicle detection sub-system) and a management subsystem. The WSN based VDS gathers information on the availability of each parking lot and the management sub-system processes the information and refines them and guides the driver to the available parking lot by controlling a VMS (Variable Messaging System). The paper describes the overall system architecture of PGS from the hardware platform to the application software in the view point of a WSN. We implemented the WSN based VDS of PGS and experimented on the system with several kinds of cars.
Online car parking reservation system 9160262550 dineshDinesh Nalluri
This document presents a mini project on an online car parking reservation system. It includes a certificate signed by the project guide and head of department certifying the work. It also includes a declaration by the student that this is their original work. The introduction provides an overview of the existing problems with parking and how the proposed system aims to make the reservation process easier for users. It outlines the scope and objectives of the project to develop a web application for users to search for and book parking slots online before arriving at a location.
The document discusses the development of a smart parking system using an Android and web application. The system aims to address issues with finding available parking spots by allowing drivers to check availability and pre-book spots. It consists of an Android app and web app that communicate with a backend PHP system hosted on a cloud server. The backend stores booking data and user authentication in a remote MySQL database. The system allows users to login, select an area to view available spots, book and pay for a spot in advance. This is intended to reduce traffic caused by drivers searching for parking.
This document describes the development of an Android application for online parking slot booking. The application aims to help users find available parking slots and allow them to pre-book slots up to four hours before their expected arrival time. It connects users to parking owners to facilitate booking. The system architecture involves six components - parking owners, users, the internet, an application server, a main server database, and parking owner databases. Key features of the application include user registration and login, selecting a parking location, viewing available slots, booking a slot, and a dashboard for parking owners to manage slots. Advantages are reducing traffic as users can pre-book and saving time searching for slots. Future work could expand the system's coverage area.
An Overview of Parking Slot Detection Techniquesijtsrd
The aim of this study is to design and implement an automatic parking system to increase parking usability and safety and to collect parking fees for vehicles without having to use a magnetic card. A clever car park system can work with fewer human connections and does not need a magnetic card. There is also a parking assistance system that can advise and guide the user to the correct car park. In order to detect the number plates for the parking and payment system, the system used image processing. In general, the systems use pre programmed controls to ensure that at least one person is involved in the parking system and control access to restricted areas. Ashu Yadav | Kirti Bhatia | Rohini Sharma "An Overview of Parking Slot Detection Techniques" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-5 | Issue-5 , August 2021, URL: https://www.ijtsrd.com/papers/ijtsrd46321.pdf Paper URL: https://www.ijtsrd.com/computer-science/realtime-computing/46321/an-overview-of-parking-slot-detection-techniques/ashu-yadav
IRJET - Android based M-Application for Car Parking using QR CodeIRJET Journal
1) The document proposes an Android-based mobile application that uses QR codes to help users book and pay for parking in advance, reducing search times.
2) The application allows users to reserve a parking spot, generates a unique QR code for them, and provides a map to guide them directly to their spot. Parking authorities can then scan the QR code to authenticate the user.
3) The system is intended to resolve parking issues by minimizing human effort and time spent searching for spots through advance booking and QR code authentication, while also reducing fuel consumption and traffic.
Vehicles Parking Management System project Presentation final yearVikram Singh
This document describes a vehicle parking management system. The system aims to help people find parking spots quickly, keep records of vehicles entering and exiting parking areas, and determine costs based on parking time. It uses front-end technologies like HTML and CSS for the user interface, and back-end technologies like Java Script for functionality. The system would have modules for vehicle records, admin functions to manage the system, and security for parked vehicles. It is intended to make parking management easier and reduce costs compared to manual systems.
Final PPT Smart Parking System (4).pptxAmitJha978827
The document describes a smart parking system that uses ultrasonic sensors and a NodeMCU WiFi modem to monitor parking space availability. Users can check available spaces and book spaces through a website. The system aims to address problems with unmanaged parking increasing due to rising vehicle ownership. It allows users to reserve spaces and know exactly where to park.
Upgrading to a Smart parking management softwareParking Badge
The document discusses making the switch to smart parking management software. It describes how smart parking systems use sensors and technologies to help drivers find available spaces and provide more efficient parking experiences. It outlines some common components of smart parking systems like license plate readers, cameras, mobile apps, parking meters, and sensors. Finally, it encourages facilities to contact Parking Badge experts to design a customized smart parking solution that meets their specific needs and budget.
Smart Parking systems typically obtains information about available parking spaces in a particular geographic area and process is real-time to place vehicles at available positions .It involves using low-cost sensors, real-time data collection, and mobile-phone-enabled automated payment systems that allow people to reserve parking in advance or very accurately predict where they will likely find a spot.
Threats to mobile devices are more prevalent and increasing in scope and complexity. Users of mobile devices desire to take full advantage of the features
available on those devices, but many of the features provide convenience and capability but sacrifice security. This best practices guide outlines steps the users can take to better protect personal devices and information.
HCL Notes and Domino License Cost Reduction in the World of DLAUpanagenda
Webinar Recording: https://www.panagenda.com/webinars/hcl-notes-and-domino-license-cost-reduction-in-the-world-of-dlau/
The introduction of DLAU and the CCB & CCX licensing model caused quite a stir in the HCL community. As a Notes and Domino customer, you may have faced challenges with unexpected user counts and license costs. You probably have questions on how this new licensing approach works and how to benefit from it. Most importantly, you likely have budget constraints and want to save money where possible. Don’t worry, we can help with all of this!
We’ll show you how to fix common misconfigurations that cause higher-than-expected user counts, and how to identify accounts which you can deactivate to save money. There are also frequent patterns that can cause unnecessary cost, like using a person document instead of a mail-in for shared mailboxes. We’ll provide examples and solutions for those as well. And naturally we’ll explain the new licensing model.
Join HCL Ambassador Marc Thomas in this webinar with a special guest appearance from Franz Walder. It will give you the tools and know-how to stay on top of what is going on with Domino licensing. You will be able lower your cost through an optimized configuration and keep it low going forward.
These topics will be covered
- Reducing license cost by finding and fixing misconfigurations and superfluous accounts
- How do CCB and CCX licenses really work?
- Understanding the DLAU tool and how to best utilize it
- Tips for common problem areas, like team mailboxes, functional/test users, etc
- Practical examples and best practices to implement right away
AI 101: An Introduction to the Basics and Impact of Artificial IntelligenceIndexBug
Imagine a world where machines not only perform tasks but also learn, adapt, and make decisions. This is the promise of Artificial Intelligence (AI), a technology that's not just enhancing our lives but revolutionizing entire industries.
Full-RAG: A modern architecture for hyper-personalizationZilliz
Mike Del Balso, CEO & Co-Founder at Tecton, presents "Full RAG," a novel approach to AI recommendation systems, aiming to push beyond the limitations of traditional models through a deep integration of contextual insights and real-time data, leveraging the Retrieval-Augmented Generation architecture. This talk will outline Full RAG's potential to significantly enhance personalization, address engineering challenges such as data management and model training, and introduce data enrichment with reranking as a key solution. Attendees will gain crucial insights into the importance of hyperpersonalization in AI, the capabilities of Full RAG for advanced personalization, and strategies for managing complex data integrations for deploying cutting-edge AI solutions.
Observability Concepts EVERY Developer Should Know -- DeveloperWeek Europe.pdfPaige Cruz
Monitoring and observability aren’t traditionally found in software curriculums and many of us cobble this knowledge together from whatever vendor or ecosystem we were first introduced to and whatever is a part of your current company’s observability stack.
While the dev and ops silo continues to crumble….many organizations still relegate monitoring & observability as the purview of ops, infra and SRE teams. This is a mistake - achieving a highly observable system requires collaboration up and down the stack.
I, a former op, would like to extend an invitation to all application developers to join the observability party will share these foundational concepts to build on:
“An Outlook of the Ongoing and Future Relationship between Blockchain Technologies and Process-aware Information Systems.” Invited talk at the joint workshop on Blockchain for Information Systems (BC4IS) and Blockchain for Trusted Data Sharing (B4TDS), co-located with with the 36th International Conference on Advanced Information Systems Engineering (CAiSE), 3 June 2024, Limassol, Cyprus.
GraphRAG for Life Science to increase LLM accuracyTomaz Bratanic
GraphRAG for life science domain, where you retriever information from biomedical knowledge graphs using LLMs to increase the accuracy and performance of generated answers
How to Get CNIC Information System with Paksim Ga.pptxdanishmna97
Pakdata Cf is a groundbreaking system designed to streamline and facilitate access to CNIC information. This innovative platform leverages advanced technology to provide users with efficient and secure access to their CNIC details.
HCL Notes und Domino Lizenzkostenreduzierung in der Welt von DLAUpanagenda
Webinar Recording: https://www.panagenda.com/webinars/hcl-notes-und-domino-lizenzkostenreduzierung-in-der-welt-von-dlau/
DLAU und die Lizenzen nach dem CCB- und CCX-Modell sind für viele in der HCL-Community seit letztem Jahr ein heißes Thema. Als Notes- oder Domino-Kunde haben Sie vielleicht mit unerwartet hohen Benutzerzahlen und Lizenzgebühren zu kämpfen. Sie fragen sich vielleicht, wie diese neue Art der Lizenzierung funktioniert und welchen Nutzen sie Ihnen bringt. Vor allem wollen Sie sicherlich Ihr Budget einhalten und Kosten sparen, wo immer möglich. Das verstehen wir und wir möchten Ihnen dabei helfen!
Wir erklären Ihnen, wie Sie häufige Konfigurationsprobleme lösen können, die dazu führen können, dass mehr Benutzer gezählt werden als nötig, und wie Sie überflüssige oder ungenutzte Konten identifizieren und entfernen können, um Geld zu sparen. Es gibt auch einige Ansätze, die zu unnötigen Ausgaben führen können, z. B. wenn ein Personendokument anstelle eines Mail-Ins für geteilte Mailboxen verwendet wird. Wir zeigen Ihnen solche Fälle und deren Lösungen. Und natürlich erklären wir Ihnen das neue Lizenzmodell.
Nehmen Sie an diesem Webinar teil, bei dem HCL-Ambassador Marc Thomas und Gastredner Franz Walder Ihnen diese neue Welt näherbringen. Es vermittelt Ihnen die Tools und das Know-how, um den Überblick zu bewahren. Sie werden in der Lage sein, Ihre Kosten durch eine optimierte Domino-Konfiguration zu reduzieren und auch in Zukunft gering zu halten.
Diese Themen werden behandelt
- Reduzierung der Lizenzkosten durch Auffinden und Beheben von Fehlkonfigurationen und überflüssigen Konten
- Wie funktionieren CCB- und CCX-Lizenzen wirklich?
- Verstehen des DLAU-Tools und wie man es am besten nutzt
- Tipps für häufige Problembereiche, wie z. B. Team-Postfächer, Funktions-/Testbenutzer usw.
- Praxisbeispiele und Best Practices zum sofortigen Umsetzen
Why You Should Replace Windows 11 with Nitrux Linux 3.5.0 for enhanced perfor...SOFTTECHHUB
The choice of an operating system plays a pivotal role in shaping our computing experience. For decades, Microsoft's Windows has dominated the market, offering a familiar and widely adopted platform for personal and professional use. However, as technological advancements continue to push the boundaries of innovation, alternative operating systems have emerged, challenging the status quo and offering users a fresh perspective on computing.
One such alternative that has garnered significant attention and acclaim is Nitrux Linux 3.5.0, a sleek, powerful, and user-friendly Linux distribution that promises to redefine the way we interact with our devices. With its focus on performance, security, and customization, Nitrux Linux presents a compelling case for those seeking to break free from the constraints of proprietary software and embrace the freedom and flexibility of open-source computing.
Programming Foundation Models with DSPy - Meetup SlidesZilliz
Prompting language models is hard, while programming language models is easy. In this talk, I will discuss the state-of-the-art framework DSPy for programming foundation models with its powerful optimizers and runtime constraint system.
Unlock the Future of Search with MongoDB Atlas_ Vector Search Unleashed.pdfMalak Abu Hammad
Discover how MongoDB Atlas and vector search technology can revolutionize your application's search capabilities. This comprehensive presentation covers:
* What is Vector Search?
* Importance and benefits of vector search
* Practical use cases across various industries
* Step-by-step implementation guide
* Live demos with code snippets
* Enhancing LLM capabilities with vector search
* Best practices and optimization strategies
Perfect for developers, AI enthusiasts, and tech leaders. Learn how to leverage MongoDB Atlas to deliver highly relevant, context-aware search results, transforming your data retrieval process. Stay ahead in tech innovation and maximize the potential of your applications.
#MongoDB #VectorSearch #AI #SemanticSearch #TechInnovation #DataScience #LLM #MachineLearning #SearchTechnology
TrustArc Webinar - 2024 Global Privacy SurveyTrustArc
How does your privacy program stack up against your peers? What challenges are privacy teams tackling and prioritizing in 2024?
In the fifth annual Global Privacy Benchmarks Survey, we asked over 1,800 global privacy professionals and business executives to share their perspectives on the current state of privacy inside and outside of their organizations. This year’s report focused on emerging areas of importance for privacy and compliance professionals, including considerations and implications of Artificial Intelligence (AI) technologies, building brand trust, and different approaches for achieving higher privacy competence scores.
See how organizational priorities and strategic approaches to data security and privacy are evolving around the globe.
This webinar will review:
- The top 10 privacy insights from the fifth annual Global Privacy Benchmarks Survey
- The top challenges for privacy leaders, practitioners, and organizations in 2024
- Key themes to consider in developing and maintaining your privacy program
In his public lecture, Christian Timmerer provides insights into the fascinating history of video streaming, starting from its humble beginnings before YouTube to the groundbreaking technologies that now dominate platforms like Netflix and ORF ON. Timmerer also presents provocative contributions of his own that have significantly influenced the industry. He concludes by looking at future challenges and invites the audience to join in a discussion.
Dr. Sean Tan, Head of Data Science, Changi Airport Group
Discover how Changi Airport Group (CAG) leverages graph technologies and generative AI to revolutionize their search capabilities. This session delves into the unique search needs of CAG’s diverse passengers and customers, showcasing how graph data structures enhance the accuracy and relevance of AI-generated search results, mitigating the risk of “hallucinations” and improving the overall customer journey.
2. Introduction
1
Its an web and app based device that gives
you signal about which parking slot is open
and which is occupied.
3 This system also offers innovative services
which facilitate the task to the drivers when
looking for an available parking spaces in
the city near there destination in fast and
efficient manner.
2 Monitoring Parking Usage and space
pattern to dynamically assists with
congestion.
3. Problems
● Parking is one of the biggest problem in the cities like kathmandu.
● The Riders don’t have any information about the parking sites
and it’s available spaces.
● Loss of time
● Unmanaged Parking and congestion
● Traffic problems
4. ● Efficient and Effective parking of vehicles.
● Space Optimization
● Parking Guidance and search time reduction based on operator interest
and user preference
● Enhance the security by simplifying Parking System
Aims and Objectives
5. Features
• Real Time Activity
• Pre Booking
• Secure Payment
• IOT(Internet Of Things)
• Use of latest Technology Zigbee
• Use of GPS system to track your location
• Dynamic Billing System
• Parking by User Preference
7. Business Model
● Operators can charge a commission on mobile payments thus adding revenue stream.
● Partnership with the government, organization.
● Data analytics
● Parking Revenue
● Driver membership fee
8. Why choose us?
User friendly(minimal interaction)
Online Payment
Find Cheap Parking Destination
User Data Security
Real Time Activity
Get notified to extend, exit and cancel the booking.
9. Future Enhancement
1
2
3
Effective use of IOT and Sensors to detect the
vehicles and provide efficient data to the user.
Use of GPS tracking to find your vehicle in
mass parking slot.
Use of WSN(Wireless Sensor Network)
4 Mass parking and linear parking
implementation.
10. Conclusion
Tesla Parking system manages haphazard parking of vehicles by space optimization.
It will reduce long queue ,traffic , waiting time , stress and increase efficiency in parking
system.