Description:

In this captivating session, we will explore the fascinating world of computer vision and its application in the domain of animal behaviour analysis. With the help of Python and advanced computer vision techniques, we can now unlock valuable insights into the behaviour patterns of various animal species.

Join us as we delve into the methodologies and tools used to capture and analyze visual data, enabling us to better understand animal behaviour. We will explore the power of Python libraries such as OpenCV and TensorFlow, which provide a robust foundation for image processing, object detection, and machine learning.

Throughout the session, we will cover critical topics including:

1. Introduction to computer vision and its relevance in the study of animal behaviour
2. Techniques for data collection and preprocessing, including image acquisition and annotation
3. Exploring advanced algorithms for animal detection, tracking, and pose estimation
4. Leveraging machine learning models to classify and analyze animal behaviour patterns
5. Generating actionable insights and knowledge from the collected data using Python-based data visualization and analysis tools

By the end of this talk, you will have a solid understanding of the capabilities and applications of computer vision in the field of animal behaviour analysis. You will also gain valuable insights into how Python can be utilized as a powerful tool for unlocking meaningful data and driving scientific discoveries in the realm of animal behaviour research.

Join us for an enlightening session that showcases the potential of computer vision and Python in unravelling the mysteries of the animal kingdom. Get ready to be inspired and discover new horizons in the realm of wildlife research and conservation.

Don't miss out on this exciting opportunity to explore the intersection of computer vision, Python, and animal behaviour analysis. See you at the Python conference!

Prerequisites:

1. Basic understanding of Python programming language
   2. Familiarity with computer vision concepts
   3. Familiarity with OpenCV and TensorFlow (Optional)

Speaker Info:

Abhijit Tripathy, in fact, is an engineer, author, young entrepreneur, researcher and the Chief Executive Officer of Presear Softwares Private Limited. He has covered it all, from being incredibly adaptable in coding to being a big fan of open source.

The speaker owns Presear Softwares PVT LTD, a software company which has software suites in 7+ sectors including agriculture, healthcare, e-commerce etc. He also holds the role of Senior Business Executive at Australian AI & Blockchain startup Prodigal AI.

The author has a solid academic background, where he has managed to become the overall Gold Medalist of the entire central university majoring in Computer Science and Engineering. He has a strong research interest in several sectors including business process management, algorithmic designs, system development and hybrid software development. In his initial days, the author has proved his presence in the Open Source Software community by contributing to the Python Software Foundation and Python Packaging Index (pip).

Speaker Links:

Linkedin - https://www.linkedin.com/in/abhijit-tripathy/ Github - https://github.com/Abhijit2505 ResearchGate - https://www.researchgate.net/profile/Abhijit-Tripathy-2 Python Package - https://pypi.org/project/eduAlgo/