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Internship in Computer Vision

"Gain hands-on experience and unlock your potential in computer vision through real-world internship projects!"

Language: English

Instructors: Collegiate

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Why this course?

Description

HandE Learning is the largest Management and Degree Subject based E-learning institute of India with 200,000 students offers most comprehensive and practical internship programmes across more than 20 subjects in 100 plus topics or concepts. 
Collegiate Internship is the most Practical and Experiential Learning based programme includes complete subject learning, assignments and projects in different degree subjects, management and job function-based topics. This follows the complete guideline of UGC and NEP 2020 applicable to all the colleges and institutions across India. 

Collegiate is an IPO (Internship providing org) offers complete Internship for Undergraduate students in Online and Offline mode through various digital and tech labs in actual work situations in on-site experiential learning for real industry and research project in various subject for advance learning with application
1.The Internship is in actual work environment or digital/tech labs with outcome based learning and actual industry projects/assignments
2.Professional development through special sessions, exposure to digital and physical work environment through labs and industry environment 
3. Complete exposure to research aptitude by sharpening knowledge enhancement, analyzing, documentation, reporting and presenting. Exposure to emerging technologies in AI, ML, Analytics, digital tools
4.Entrepreneurial capabilities development by providing exposure and knowledge on how an organisation and business runs and required capabilities or functions to manage that.

The following structure for Internship would be followed
1.    Mentors and Supervisors would be allocated
2.    Mentors would be experienced people like research scientists, academicians, industry professionals, entrepreneurs and other experts, etc 
3.    All projects would be individual or few group projects
4.    Internship would be linked to the outcomes of value-added/skill- development/ability enhancement.

Check: https://www.collegiate.info/ | https://www.collegiate.info/subjects 

Description:

This course provides students with the opportunity to gain hands-on experience in the field of Computer Vision through an intensive internship program. Participants will work on real-world projects, collaborate with industry experts, and enhance their skills in image recognition, object detection, and video analysis.

Key Highlights:

  • Real-world projects
  • Industry collaboration
  • Enhanced skills in Computer Vision

What you will learn:

  • Hands-on projects
    Work on practical projects related to image recognition, object detection, and video analysis.
  • Industry collaboration
    Collaborate with experts in the field of Computer Vision and gain valuable insights from industry professionals.
  • Enhanced skills
    Develop advanced skills in Computer Vision technologies and tools to prepare for future career opportunities.

 

Assignment 1: Introduction to Computer Vision
Objective: To assess students' understanding of fundamental computer vision concepts and their ability to apply these concepts to real-world scenarios.

Project: Real-Time Image Segmentation for Automated Vehicle Detection
Objective: This objective focuses on the strategic development and deployment of a real-time image segmentation system for automated vehicle detection, emphasizing performance optimization and practical integration with vehicle systems.

Assignment 2: Object Detection
Objective: To assess students' understanding of object detection concepts and their ability to analyze and interpret image data.

Project: Real-Time Object Detection for Smart Surveillance System
Objective: To develop and implement a real-time object detection system for smart surveillance, leveraging advanced image preprocessing and state-of-the-art detection algorithms to accurately and efficiently identify and classify objects in live video feeds, while providing real-time alerts and a user-friendly interface for enhanced security monitoring.

Course Curriculum

How to Use

After successful purchase, this item would be added to your courses.You can access your courses in the following ways :

  • From the computer, you can access your courses after successful login
  • For other devices, you can access your library using this web app through browser of your device.

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