Vision software plays a crucial role in surveillance systems, helping to monitor and analyse video feeds for suspicious activities, intrusions, or potential threats. Learn more!
Artificial intelligence has revolutionized machine vision solutions, expanding their capabilities and applications across various industries. Learn more!
The document discusses 16 applications of computer vision in video surveillance and security, including human detection, people movement analysis, person recognition, weapon detection, and more. It explains how computer vision uses technologies like machine learning and edge computing to analyze video data and automate human supervision for security purposes. Finally, it provides details on anomaly detection as one application of computer vision, describing what anomaly detection is, example use cases, and different types of anomalies that can be detected.
Xeven Solutions offers Computer Vision services that will help you grow your business. Our cutting-edge technologies unlock unmatched potential across varied industries, from improving security systems and powering autonomous vehicles to transforming medical image analysis.
https://www.xevensolutions.com/computer-vision/
Safe Crowds is an artificial intelligence software that analyzes real-time video from mobile devices to detect potential threats and anomalous activities in crowds. It monitors crowds for unusual movements, extreme emotions, and fights. When threats are detected, it triggers alerts to officers and command centers. The software fulfills a need for automated video monitoring and analysis in public safety. It could be applied to other markets and showcases Motorola's technical innovation. The project aims to develop the product from 2017 to 2018 with early milestones to validate its value to customers. An ideal partner would provide AI algorithms that can detect complex activities within mobile device limitations.
IRJET-Human Face Detection and Identification using Deep Metric LearningIRJET Journal
This document discusses a project that uses deep metric learning techniques for human face detection and identification in images and videos. Deep metric learning outputs a real-valued vector rather than a single classification. It uses libraries like OpenCV, Dlib, scikit-learn and Keras to build neural networks for facial recognition. The goals are to develop a system that can identify faces even from low quality images with variations in illumination, expression, angle and occlusions. Existing face recognition has challenges in these conditions, so the aim is to improve accuracy rates for normal and non-ideal images through deep metric learning approaches.
Embedded Image and Vision Processing 2017 report by Yole DeveloppementYole Developpement
From algorithms included in the image processing pipeline to neural networks running in vision processors, focus on the evolution of hardware in vision systems and how software disrupts this domain.
SOFTWARE IN VISION SYSTEMS
Vision systems are becoming increasingly important. Therefore, this report shows and explains the close links between embedded software and hardware in vision systems at the technology and market levels. What are the software technologies? How do they impact the hardware? Which hardware is impacted? What kinds of markets are affected? And how will they evolve?
We can consider software in vision systems as having two different levels. The first is very close to the hardware, inscribed inside standalone field programmable gate array (FPGA) or application specific integrated circuit (ASIC) chips, or integrated into more complicated architectures. This layer, not often considered, is the most important step in any image treatment after image acquisition by pixels. Image processing, realized in the image signal processor (ISP), has a quite simple function. It must transform a signal from the sensor to an understandable image for the human eye. It is composed as a pipeline of multiple blocks, where each block takes as input the output of the previous block. A lot of different algorithms are implemented to accomplish tasks such as removing artefacts, color correction and reproduction. This is done at a single-pixel or pixel-group level and does not need a lot of memory or power.
More information on that report at http://www.i-micronews.com/reports.html
Computer vision is a field that enables machines to interpret and understand visual data like images and videos. It combines techniques from computer science, mathematics, and engineering. Computer vision systems can perceive digital images, analyze them to extract features, and make decisions based on the analysis. Examples of computer vision applications include medical imaging, autonomous vehicles, surveillance, and industrial automation. The field continues to advance rapidly and push the boundaries of what is possible with visual data.
Artificial intelligence has revolutionized machine vision solutions, expanding their capabilities and applications across various industries. Learn more!
The document discusses 16 applications of computer vision in video surveillance and security, including human detection, people movement analysis, person recognition, weapon detection, and more. It explains how computer vision uses technologies like machine learning and edge computing to analyze video data and automate human supervision for security purposes. Finally, it provides details on anomaly detection as one application of computer vision, describing what anomaly detection is, example use cases, and different types of anomalies that can be detected.
Xeven Solutions offers Computer Vision services that will help you grow your business. Our cutting-edge technologies unlock unmatched potential across varied industries, from improving security systems and powering autonomous vehicles to transforming medical image analysis.
https://www.xevensolutions.com/computer-vision/
Safe Crowds is an artificial intelligence software that analyzes real-time video from mobile devices to detect potential threats and anomalous activities in crowds. It monitors crowds for unusual movements, extreme emotions, and fights. When threats are detected, it triggers alerts to officers and command centers. The software fulfills a need for automated video monitoring and analysis in public safety. It could be applied to other markets and showcases Motorola's technical innovation. The project aims to develop the product from 2017 to 2018 with early milestones to validate its value to customers. An ideal partner would provide AI algorithms that can detect complex activities within mobile device limitations.
IRJET-Human Face Detection and Identification using Deep Metric LearningIRJET Journal
This document discusses a project that uses deep metric learning techniques for human face detection and identification in images and videos. Deep metric learning outputs a real-valued vector rather than a single classification. It uses libraries like OpenCV, Dlib, scikit-learn and Keras to build neural networks for facial recognition. The goals are to develop a system that can identify faces even from low quality images with variations in illumination, expression, angle and occlusions. Existing face recognition has challenges in these conditions, so the aim is to improve accuracy rates for normal and non-ideal images through deep metric learning approaches.
Embedded Image and Vision Processing 2017 report by Yole DeveloppementYole Developpement
From algorithms included in the image processing pipeline to neural networks running in vision processors, focus on the evolution of hardware in vision systems and how software disrupts this domain.
SOFTWARE IN VISION SYSTEMS
Vision systems are becoming increasingly important. Therefore, this report shows and explains the close links between embedded software and hardware in vision systems at the technology and market levels. What are the software technologies? How do they impact the hardware? Which hardware is impacted? What kinds of markets are affected? And how will they evolve?
We can consider software in vision systems as having two different levels. The first is very close to the hardware, inscribed inside standalone field programmable gate array (FPGA) or application specific integrated circuit (ASIC) chips, or integrated into more complicated architectures. This layer, not often considered, is the most important step in any image treatment after image acquisition by pixels. Image processing, realized in the image signal processor (ISP), has a quite simple function. It must transform a signal from the sensor to an understandable image for the human eye. It is composed as a pipeline of multiple blocks, where each block takes as input the output of the previous block. A lot of different algorithms are implemented to accomplish tasks such as removing artefacts, color correction and reproduction. This is done at a single-pixel or pixel-group level and does not need a lot of memory or power.
More information on that report at http://www.i-micronews.com/reports.html
Computer vision is a field that enables machines to interpret and understand visual data like images and videos. It combines techniques from computer science, mathematics, and engineering. Computer vision systems can perceive digital images, analyze them to extract features, and make decisions based on the analysis. Examples of computer vision applications include medical imaging, autonomous vehicles, surveillance, and industrial automation. The field continues to advance rapidly and push the boundaries of what is possible with visual data.
IRJET- Applications of Object Detection SystemIRJET Journal
Object detection has a wide range of applications. It can be used for optical character recognition to extract text from documents and images. It is crucial for self-driving cars to detect other vehicles, pedestrians, and road signs. Object detection is also used to track objects in videos like vehicles, people, and sports equipment. Face detection and recognition are common applications and are used by services like Facebook to tag users in photos. Object detection also enables identity verification through biometric technologies like iris scanning. It allows extraction of specific objects from images and videos through image segmentation.
The document describes a face recognition system that uses OpenCV to identify known and unknown faces from images and videos in real-time. The system detects faces, extracts facial features, compares the features to a database of known faces to recognize individuals, and stores details of unknown faces for attendance tracking purposes. It aims to automate attendance management more efficiently than manual methods. The system achieves high accuracy around 85% and could improve security and convenience for applications like online education, virtual meetings, and residential security.
Recent New Trends in Technology By Sulav AcharyaAchSulav
Lorem ipsum dolor sit amet, consectetur adipiscing elit. Duis eget sollicitudin elit. Phasellus congue lectus ut dolor maximus, id interdum libero gravida. Vestibulum dapibus semper diam, vel malesuada diam pellentesque eu. In sed quam id lectus dapibus faucibus. Nulla facilisi. Fusce malesuada lacus sit amet ipsum condimentum bibendum. Donec est sapien, vulputate nec consequat ac, vehicula interdum arcu. Nam ac rutrum orci, ac molestie lacus. Pellentesque habitant morbi tristique senectus et netus et malesuada fames ac turpis egestas. Sed congue diam id facilisis vestibulum. Maecenas non velit eros.
Sed pellentesque est aliquet eleifend porta. Aliquam vel nunc erat. Vivamus tempor maximus placerat. Maecenas quam dolor, commodo quis lectus sed, finibus pulvinar urna. Morbi sit amet dictum magna, viverra viverra velit. In interdum sapien dapibus neque vestibulum condimentum. Vestibulum venenatis ante sit amet congue congue. Donec ligula eros, posuere sit amet eros in, porttitor efficitur libero. Sed volutpat est sed volutpat tempus. In eu mollis augue, sed tincidunt odio. Morbi et consequat neque
The document discusses IP UtiliNET's facial biometric entry management systems which include Command Point for enrollment and centralized management, Veri-Point for identity verification appliances, Mobi-Point for mobile verification devices, and Vantage Point for presence awareness systems. The systems use multidimensional facial recognition for identification and access control across various applications such as government, law enforcement, healthcare, and commercial sectors.
Augmented and Mixed Reality Solutions for Frontline Medical Professionalsthirdeyegen65
The X Series MR Glasses from ThirdEye are enhancing the healthcare journey for both professionals and patients, leading to expedited recovery, superior outcomes, and an enhanced patient experience.
For More Details Visit Here: https://realeye.thirdeyegen.com/
This document discusses embedded vision, which uses computer vision techniques in embedded systems. Embedded vision allows machines to understand their environment visually. It has become more feasible due to powerful yet efficient processors. Key points covered include programming devices for embedded vision, cameras and sensors, semiconductor components, case studies, and applications in industries like manufacturing, medical, automotive, security, and consumer goods. Embedded vision is used for automation, medical imaging, driver monitoring, physical security, and remote control applications.
A computer vision engineer at Connect Infosoft is a highly skilled professional who specializes in developing cutting-edge algorithms and systems that enable machines to understand and interpret visual information. By harnessing the power of artificial intelligence and deep learning, our computer vision engineers empower computers to "see" and process images and videos, just like humans do. They work on diverse applications, including object detection, image recognition, facial analysis, and augmented reality, among others.
Click here for more Details: https://www.connectinfosoft.com/artificial-intelligence-and-machine-learning-development-service/
The document provides an introduction to biometrics, which are automated methods of recognizing a person based on physiological or behavioral characteristics like fingerprints, face, iris, retina, hand geometry, signature, and voice. It discusses different biometric modalities, applications, types of sensors, the biometric system process, how some biometric technologies like fingerprint and facial scanners work, barriers to biometrics adoption, and companies involved in different biometric technologies.
Smart Surveillance System through Computer VisionIRJET Journal
1. The document describes a smart surveillance system that uses computer vision techniques like object detection, face recognition, and object tracking for security purposes in homes and offices.
2. The system is able to detect objects, track their movement, recognize faces and compare them to a database, and send alerts via SMS if an unknown person is detected.
3. The system was developed using Python with libraries like OpenCV, NumPy, and Twilio for features like real-time object detection using YOLO, face recognition, object tracking, and alert notifications.
How to Test Computer Vision Apps like Google Lens and Google Photos.pdfpCloudy
Computer vision technology has made significant strides in recent years, powering innovative applications like Google Lens, CamScanner, Google Photos, etc
Pattem Digital is a top-notch IoT wearables app development company developing innovative applications for smart wearables, enhancing the future of connected devices.
The document discusses the security and surveillance marketplace for the SurveillancePoint service. It analyzes the current marketplace, trends, competitors, market size, and opportunities. SurveillancePoint is a global video surveillance, alarm, monitoring and tracking management system that can be accessed over the internet or private network from various devices. It integrates security equipment and provides remote access and monitoring capabilities, addressing a need in the market.
In the intricate dance of modern manufacturing, where precision and efficiency reign supreme, the role of Manufacturing Traceability Software is nothing short of transformative.
Odoo with iot and beacon based mobile appHusen Daudi
Presenting first ever IoT based mobile app solution integrated with odoo for tracking and patrolling of security guards. From mobile app we can track roster and schedule of guards and track their actions and send back to odoo for further processing of data for payroll, timesheet, reporting and invoicing.
In today’s traffic world, ambulance plays a major role when an accident occurs on the road network and the need arises to save valuable human life. Transportation of a patient to an emergency hospital seems quite simple but in actuality, it is quite difficult and gets more difficult during peak hours.
In our Ambulance Booking System, people can easily book an ambulance. There are three major modules namely User, Ambulance, and Hospital. Users can register and log in using credentials. Users can edit their profile and change their password in an emergency. Any Upcoming Ambulance Booking details if anyone wants to Book an Ambulance or if there is an Emergency.
For booking an ambulance users have to select ambulance size, pick-up point & hospital, and date & time. In an emergency will automatically book the nearest ambulance & hospital. Users will get a list of All the bookings of Ambulances. The front-end involves Html, CSS, and JavaScript and the back-end involves Python. The framework used is Django and the database is MySQL.
In this system, there are four entities User, Ambulance and Hospital. The user must register and log in using a username and password. After logging in, the user can Book Ambulance, Book Hospital, View Nearby Hospitals, View Previous Booked Ambulances and Hospitals, and it can also change its password.
When the user books an ambulance and hospital, a booking request is sent to the respective representatives of the ambulance and hospital. In view, Nearby Hospitals the user can view the nearest hospitals in their location. The ambulance driver has to register and then login in using a username and password.
After logging in, the driver can view booking requests, nearby hospitals and their previous bookings i.e., previously accepted requests. In Booking requests, it can either accept or decline the user requests. The hospital has to register and log in using a username and password. After login in the hospital representative can view the booking request and either accept or decline the user request.In today’s traffic world, ambulance plays a major role when an accident occurs on the road network and the need arises to save valuable human life. Transportation of a patient to an emergency hospital seems quite simple but in actuality, it is quite difficult and gets more difficult during peak hours.
In our Ambulance Booking System, people can easily book an ambulance. There are three major modules namely User, Ambulance, and Hospital. Users can register and log in using credentials. Users can edit their profile and change their password in an emergency. Any Upcoming Ambulance Booking details if anyone wants to Book an Ambulance or if there is an Emergency.
For booking an ambulance users have to select ambulance size, pick-up point & hospital, and date & time. In an emergency will automatically book the nearest ambulance & hospital. Users will get a list of All the bookings of Ambulances. The front-end involves Html, CSS, and
Augmented reality is a type of virtual reality that aims to duplicate the world’s environment in a computer. An augmented reality system generates a composite view for the user that is the combination of the real scene viewed by the user and a virtual scene generated by the computer.
The power of Computer Vision for precise Object Detection and Tracking. Explore Technology for seamless visual analysis. Elevate your projects with Nexgits expertise.
This document discusses augmented reality (AR) and its potential applications. AR overlays digital information onto a live video feed, providing additional context. It works by identifying markers in the video and overlaying associated data. The document outlines several potential uses for AR, including training employees, digital advertising, understanding complex systems, and navigation. It also describes the hardware, software, tracking methods, and APIs needed to develop AR applications. Key applications mentioned include mobile advertising, supporting complex tasks, and industrial uses.
Wearable technology software solutions are applications and programs specifically designed to enhance the functionality and usability of wearable devices. These software solutions enable the collection, analysis, and interpretation of data gathered by wearable devices, providing valuable insights and personalized experiences for users.
What to do when you have a perfect model for your software but you are constrained by an imperfect business model?
This talk explores the challenges of bringing modelling rigour to the business and strategy levels, and talking to your non-technical counterparts in the process.
More Related Content
Similar to The Impact of Vision Software on Surveillance and Security Systems
IRJET- Applications of Object Detection SystemIRJET Journal
Object detection has a wide range of applications. It can be used for optical character recognition to extract text from documents and images. It is crucial for self-driving cars to detect other vehicles, pedestrians, and road signs. Object detection is also used to track objects in videos like vehicles, people, and sports equipment. Face detection and recognition are common applications and are used by services like Facebook to tag users in photos. Object detection also enables identity verification through biometric technologies like iris scanning. It allows extraction of specific objects from images and videos through image segmentation.
The document describes a face recognition system that uses OpenCV to identify known and unknown faces from images and videos in real-time. The system detects faces, extracts facial features, compares the features to a database of known faces to recognize individuals, and stores details of unknown faces for attendance tracking purposes. It aims to automate attendance management more efficiently than manual methods. The system achieves high accuracy around 85% and could improve security and convenience for applications like online education, virtual meetings, and residential security.
Recent New Trends in Technology By Sulav AcharyaAchSulav
Lorem ipsum dolor sit amet, consectetur adipiscing elit. Duis eget sollicitudin elit. Phasellus congue lectus ut dolor maximus, id interdum libero gravida. Vestibulum dapibus semper diam, vel malesuada diam pellentesque eu. In sed quam id lectus dapibus faucibus. Nulla facilisi. Fusce malesuada lacus sit amet ipsum condimentum bibendum. Donec est sapien, vulputate nec consequat ac, vehicula interdum arcu. Nam ac rutrum orci, ac molestie lacus. Pellentesque habitant morbi tristique senectus et netus et malesuada fames ac turpis egestas. Sed congue diam id facilisis vestibulum. Maecenas non velit eros.
Sed pellentesque est aliquet eleifend porta. Aliquam vel nunc erat. Vivamus tempor maximus placerat. Maecenas quam dolor, commodo quis lectus sed, finibus pulvinar urna. Morbi sit amet dictum magna, viverra viverra velit. In interdum sapien dapibus neque vestibulum condimentum. Vestibulum venenatis ante sit amet congue congue. Donec ligula eros, posuere sit amet eros in, porttitor efficitur libero. Sed volutpat est sed volutpat tempus. In eu mollis augue, sed tincidunt odio. Morbi et consequat neque
The document discusses IP UtiliNET's facial biometric entry management systems which include Command Point for enrollment and centralized management, Veri-Point for identity verification appliances, Mobi-Point for mobile verification devices, and Vantage Point for presence awareness systems. The systems use multidimensional facial recognition for identification and access control across various applications such as government, law enforcement, healthcare, and commercial sectors.
Augmented and Mixed Reality Solutions for Frontline Medical Professionalsthirdeyegen65
The X Series MR Glasses from ThirdEye are enhancing the healthcare journey for both professionals and patients, leading to expedited recovery, superior outcomes, and an enhanced patient experience.
For More Details Visit Here: https://realeye.thirdeyegen.com/
This document discusses embedded vision, which uses computer vision techniques in embedded systems. Embedded vision allows machines to understand their environment visually. It has become more feasible due to powerful yet efficient processors. Key points covered include programming devices for embedded vision, cameras and sensors, semiconductor components, case studies, and applications in industries like manufacturing, medical, automotive, security, and consumer goods. Embedded vision is used for automation, medical imaging, driver monitoring, physical security, and remote control applications.
A computer vision engineer at Connect Infosoft is a highly skilled professional who specializes in developing cutting-edge algorithms and systems that enable machines to understand and interpret visual information. By harnessing the power of artificial intelligence and deep learning, our computer vision engineers empower computers to "see" and process images and videos, just like humans do. They work on diverse applications, including object detection, image recognition, facial analysis, and augmented reality, among others.
Click here for more Details: https://www.connectinfosoft.com/artificial-intelligence-and-machine-learning-development-service/
The document provides an introduction to biometrics, which are automated methods of recognizing a person based on physiological or behavioral characteristics like fingerprints, face, iris, retina, hand geometry, signature, and voice. It discusses different biometric modalities, applications, types of sensors, the biometric system process, how some biometric technologies like fingerprint and facial scanners work, barriers to biometrics adoption, and companies involved in different biometric technologies.
Smart Surveillance System through Computer VisionIRJET Journal
1. The document describes a smart surveillance system that uses computer vision techniques like object detection, face recognition, and object tracking for security purposes in homes and offices.
2. The system is able to detect objects, track their movement, recognize faces and compare them to a database, and send alerts via SMS if an unknown person is detected.
3. The system was developed using Python with libraries like OpenCV, NumPy, and Twilio for features like real-time object detection using YOLO, face recognition, object tracking, and alert notifications.
How to Test Computer Vision Apps like Google Lens and Google Photos.pdfpCloudy
Computer vision technology has made significant strides in recent years, powering innovative applications like Google Lens, CamScanner, Google Photos, etc
Pattem Digital is a top-notch IoT wearables app development company developing innovative applications for smart wearables, enhancing the future of connected devices.
The document discusses the security and surveillance marketplace for the SurveillancePoint service. It analyzes the current marketplace, trends, competitors, market size, and opportunities. SurveillancePoint is a global video surveillance, alarm, monitoring and tracking management system that can be accessed over the internet or private network from various devices. It integrates security equipment and provides remote access and monitoring capabilities, addressing a need in the market.
In the intricate dance of modern manufacturing, where precision and efficiency reign supreme, the role of Manufacturing Traceability Software is nothing short of transformative.
Odoo with iot and beacon based mobile appHusen Daudi
Presenting first ever IoT based mobile app solution integrated with odoo for tracking and patrolling of security guards. From mobile app we can track roster and schedule of guards and track their actions and send back to odoo for further processing of data for payroll, timesheet, reporting and invoicing.
In today’s traffic world, ambulance plays a major role when an accident occurs on the road network and the need arises to save valuable human life. Transportation of a patient to an emergency hospital seems quite simple but in actuality, it is quite difficult and gets more difficult during peak hours.
In our Ambulance Booking System, people can easily book an ambulance. There are three major modules namely User, Ambulance, and Hospital. Users can register and log in using credentials. Users can edit their profile and change their password in an emergency. Any Upcoming Ambulance Booking details if anyone wants to Book an Ambulance or if there is an Emergency.
For booking an ambulance users have to select ambulance size, pick-up point & hospital, and date & time. In an emergency will automatically book the nearest ambulance & hospital. Users will get a list of All the bookings of Ambulances. The front-end involves Html, CSS, and JavaScript and the back-end involves Python. The framework used is Django and the database is MySQL.
In this system, there are four entities User, Ambulance and Hospital. The user must register and log in using a username and password. After logging in, the user can Book Ambulance, Book Hospital, View Nearby Hospitals, View Previous Booked Ambulances and Hospitals, and it can also change its password.
When the user books an ambulance and hospital, a booking request is sent to the respective representatives of the ambulance and hospital. In view, Nearby Hospitals the user can view the nearest hospitals in their location. The ambulance driver has to register and then login in using a username and password.
After logging in, the driver can view booking requests, nearby hospitals and their previous bookings i.e., previously accepted requests. In Booking requests, it can either accept or decline the user requests. The hospital has to register and log in using a username and password. After login in the hospital representative can view the booking request and either accept or decline the user request.In today’s traffic world, ambulance plays a major role when an accident occurs on the road network and the need arises to save valuable human life. Transportation of a patient to an emergency hospital seems quite simple but in actuality, it is quite difficult and gets more difficult during peak hours.
In our Ambulance Booking System, people can easily book an ambulance. There are three major modules namely User, Ambulance, and Hospital. Users can register and log in using credentials. Users can edit their profile and change their password in an emergency. Any Upcoming Ambulance Booking details if anyone wants to Book an Ambulance or if there is an Emergency.
For booking an ambulance users have to select ambulance size, pick-up point & hospital, and date & time. In an emergency will automatically book the nearest ambulance & hospital. Users will get a list of All the bookings of Ambulances. The front-end involves Html, CSS, and
Augmented reality is a type of virtual reality that aims to duplicate the world’s environment in a computer. An augmented reality system generates a composite view for the user that is the combination of the real scene viewed by the user and a virtual scene generated by the computer.
The power of Computer Vision for precise Object Detection and Tracking. Explore Technology for seamless visual analysis. Elevate your projects with Nexgits expertise.
This document discusses augmented reality (AR) and its potential applications. AR overlays digital information onto a live video feed, providing additional context. It works by identifying markers in the video and overlaying associated data. The document outlines several potential uses for AR, including training employees, digital advertising, understanding complex systems, and navigation. It also describes the hardware, software, tracking methods, and APIs needed to develop AR applications. Key applications mentioned include mobile advertising, supporting complex tasks, and industrial uses.
Wearable technology software solutions are applications and programs specifically designed to enhance the functionality and usability of wearable devices. These software solutions enable the collection, analysis, and interpretation of data gathered by wearable devices, providing valuable insights and personalized experiences for users.
Similar to The Impact of Vision Software on Surveillance and Security Systems (20)
What to do when you have a perfect model for your software but you are constrained by an imperfect business model?
This talk explores the challenges of bringing modelling rigour to the business and strategy levels, and talking to your non-technical counterparts in the process.
Using Query Store in Azure PostgreSQL to Understand Query PerformanceGrant Fritchey
Microsoft has added an excellent new extension in PostgreSQL on their Azure Platform. This session, presented at Posette 2024, covers what Query Store is and the types of information you can get out of it.
UI5con 2024 - Keynote: Latest News about UI5 and it’s EcosystemPeter Muessig
Learn about the latest innovations in and around OpenUI5/SAPUI5: UI5 Tooling, UI5 linter, UI5 Web Components, Web Components Integration, UI5 2.x, UI5 GenAI.
Recording:
https://www.youtube.com/live/MSdGLG2zLy8?si=INxBHTqkwHhxV5Ta&t=0
Artificia Intellicence and XPath Extension FunctionsOctavian Nadolu
The purpose of this presentation is to provide an overview of how you can use AI from XSLT, XQuery, Schematron, or XML Refactoring operations, the potential benefits of using AI, and some of the challenges we face.
Flutter is a popular open source, cross-platform framework developed by Google. In this webinar we'll explore Flutter and its architecture, delve into the Flutter Embedder and Flutter’s Dart language, discover how to leverage Flutter for embedded device development, learn about Automotive Grade Linux (AGL) and its consortium and understand the rationale behind AGL's choice of Flutter for next-gen IVI systems. Don’t miss this opportunity to discover whether Flutter is right for your project.
Mobile App Development Company In Noida | Drona InfotechDrona Infotech
Drona Infotech is a premier mobile app development company in Noida, providing cutting-edge solutions for businesses.
Visit Us For : https://www.dronainfotech.com/mobile-application-development/
Liberarsi dai framework con i Web Component.pptxMassimo Artizzu
In Italian
Presentazione sulle feature e l'utilizzo dei Web Component nell sviluppo di pagine e applicazioni web. Racconto delle ragioni storiche dell'avvento dei Web Component. Evidenziazione dei vantaggi e delle sfide poste, indicazione delle best practices, con particolare accento sulla possibilità di usare web component per facilitare la migrazione delle proprie applicazioni verso nuovi stack tecnologici.
UI5con 2024 - Boost Your Development Experience with UI5 Tooling ExtensionsPeter Muessig
The UI5 tooling is the development and build tooling of UI5. It is built in a modular and extensible way so that it can be easily extended by your needs. This session will showcase various tooling extensions which can boost your development experience by far so that you can really work offline, transpile your code in your project to use even newer versions of EcmaScript (than 2022 which is supported right now by the UI5 tooling), consume any npm package of your choice in your project, using different kind of proxies, and even stitching UI5 projects during development together to mimic your target environment.
Unveiling the Advantages of Agile Software Development.pdfbrainerhub1
Learn about Agile Software Development's advantages. Simplify your workflow to spur quicker innovation. Jump right in! We have also discussed the advantages.
UI5con 2024 - Bring Your Own Design SystemPeter Muessig
How do you combine the OpenUI5/SAPUI5 programming model with a design system that makes its controls available as Web Components? Since OpenUI5/SAPUI5 1.120, the framework supports the integration of any Web Components. This makes it possible, for example, to natively embed own Web Components of your design system which are created with Stencil. The integration embeds the Web Components in a way that they can be used naturally in XMLViews, like with standard UI5 controls, and can be bound with data binding. Learn how you can also make use of the Web Components base class in OpenUI5/SAPUI5 to also integrate your Web Components and get inspired by the solution to generate a custom UI5 library providing the Web Components control wrappers for the native ones.
Malibou Pitch Deck For Its €3M Seed Roundsjcobrien
French start-up Malibou raised a €3 million Seed Round to develop its payroll and human resources
management platform for VSEs and SMEs. The financing round was led by investors Breega, Y Combinator, and FCVC.
E-Invoicing Implementation: A Step-by-Step Guide for Saudi Arabian CompaniesQuickdice ERP
Explore the seamless transition to e-invoicing with this comprehensive guide tailored for Saudi Arabian businesses. Navigate the process effortlessly with step-by-step instructions designed to streamline implementation and enhance efficiency.
All you need to know about Spring Boot and GraalVM
The Impact of Vision Software on Surveillance and Security Systems
1. The Impact of Vision Software on Surveillance and Security Systems
With automation and fast operations even in small businesses, vision software has become quite
popular in the present times. Companies and production units of all sizes, nature, and industries have
been investing in vision software to infuse efficiency and perfection in their work.
Vision software has several uses due to which it has an omni-demand in the competitive market at the
global level. Following are some of the uses of vision software:
1. Computer Vision: This involves using algorithms to extract meaningful information from digital
images or videos. Applications of computer vision include object detection, image
segmentation, facial recognition, gesture recognition, and optical character recognition (OCR).
2. Machine Vision: Often used in industrial settings, machine vision systems use cameras and
specialised software to inspect, measure, and identify components or products on
manufacturing lines. It helps automate quality control processes and ensures consistency and
accuracy.
3. Medical Imaging: Vision software is applied in medical fields to aid in the interpretation of
medical images, such as X-rays, CT scans, MRI scans, and ultrasound images. It can assist in
diagnosing diseases, detecting abnormalities, and guiding medical procedures.
4. Autonomous Vehicles: Self-driving cars and other autonomous vehicles rely on vision software
to process data from cameras and other sensors, enabling them to perceive their
surroundings, identify objects, and make decisions for safe navigation.
5. Augmented Reality (AR) and Virtual Reality (VR): Vision software is used in AR and VR
applications to overlay virtual content in the real world or create immersive virtual
experiences.
6. Surveillance and Security: Vision software plays a crucial role in surveillance systems, helping
to monitor and analyse video feeds for suspicious activities, intrusions, or potential threats.
7. Robotics: Vision software is used in robotics to enable robots to perceive and interact with
their environment, recognize objects, and perform tasks that require visual understanding.
Going for a Vision software to increase effectiveness of day-to-day operations is a rational choice for
every business unit.