Tech Stack : RTSP camera streams, video analytics, Vue.js, Express Js, IBM Maximo Visual Inspection
This code pattern provides a web application that can display live RTSP camera streams or prerecorded videos. Frames from these video streams can then be captured at an interval (1 fps default) and analyzed by an object detection or classification model. The inference results are rendered in several different visualizations such as a list, a pie chart, and a data table.
OPTION 1 : Project
Industry Mentor from CEW will be assigned to help on the project.
Project Lifecycle will be : Scope, Architecture & Planning, Design, Coding, Testing, Go-Live/Award
Technology Involved : RTSP camera streams, video analytics, Vue.js, Express Js, IBM Maximo Visual Inspection , Agile, Functional & Non Functional Requirements Capturing, Architecture & Solution Design, Project Plan, Project Estimatation, Use Case Modelling, UML Design, Process Flow Diagrams, UX Personas, Stakeholder Analysis, UX Best Practices, Responsive Design, Coding Best Practices, Unit Testing, Github, Deployment of Project, Devops, Automation, Go Live Procedures + this project
(limited time offer)
OPTION 2 : Class & Project
Industry Expert Teachers from CEW will be assigned for 12 weeks coaching on the technologies used in project.
After 12 weeks of teaching, project work will start.
Industry Mentor from CEW will be assigned to help on the project.
Project Lifecycle will be : Scope, Architecture & Planning, Design, Coding, Testing, Go-Live/Award
Technology Involved : RTSP camera streams, video analytics, Vue.js, Express Js, IBM Maximo Visual Inspection , Agile, Functional & Non Functional Requirements Capturing, Architecture & Solution Design, Project Plan, Project Estimatation, Use Case Modelling, UML Design, Process Flow Diagrams, UX Personas, Stakeholder Analysis, UX Best Practices, Responsive Design, Coding Best Practices, Unit Testing, Github, Deployment of Project, Devops, Automation, Go Live Procedures + this project
(limited time offer)
No Other Class in the world teaches you Real life implementation | Agile Implementation | Requirements Capturing | Architecture & Solution Design | Project Plan | Project Estimatation | Use Case Modelling | UML Design | Process Flow Diagrams | UX Personas | Stakeholder Analysis | UX Best Practices | Responsive Design | Coding Best Practices | Unit Testing | Github | Deployment of Project | Devops | Automation |Go Live Procedures + this project of the projects like we do
What you will learn ?
- Real-world how IT projects are implemented
- Implement project using RTSP camera streams, video analytics, Vue.js, Express Js, IBM Maximo Visual Inspection
- Capture Requirements of the project using Use Case Modelling (Stakeholders, Personas, Main Scanario, Alternate, Negative, Edge Cases)
- Define Functional & Non-Functional Use Cases
- Create project design using UML Modelling
- Implement project coding using code respositories.
- How Google Analytics, Search Engine Optimization(SEO) are implemented.
- How UX Banners are created.
- Testing using unit tests(create & execute)
- Deployment of the project in cloud
- User Acceptance Testing - How client identify issues, how you fix issues
- Go Live of the project
Description
There are millions of security cameras deployed around the world. However, most of the useful footage captured by these cameras goes unwatched because the operator must either monitor the video feeds in real time or manually sift through hours of footage to track incidents.
In this application, there’s a dashboard that can stream from any internet connected camera and detect specific objects or classifications in real time. This lets operators view a high-level analytics report of activity observed over a time period as well as customizable visualizations.
This enables you to quickly get an overview of trends, such as the most commonly recognized objects or the busiest times and days, and annotated images with the inference results drawn in bounding boxes or a heat map. Captured images are forward to the IBM® Maximo® Visual Inspection service, which has the capability to apply object detection, image classification, and action detection on images and videos. Each observed event can be logged in a database with relevant metadata, such as the date, time, location, and objects observed.
FLOW
1. The user accesses the web application and provides login credentials for both the camera system and IBM Maximo Visual Inspection. The user also fills out a form to select the model and to classify images as positive or negative.
2. The Node.js back end connects to the camera RTSP stream and forwards to the front-end web application.
3. As the front end plays live video, the user clicks Capture Frame or Start Interval.
4. The captured frames are forwarded to the IBM Maximo Visual Inspection back end for analysis.
5. The analysis results are rendered in the web app and grouped by the user-defined positive or negative labels.
Timelines : 8 weeks
Project will go through the phases of scope, design, coding, unit testing, UAT, Award(Go Live)
Winner will be chosen for each phase(scope,design,coding,unit testing,UAT,Go-Live) of the project, cash prize from CEW ′, certificate, cloud credits will be provided for each phase.
