Local Chapter Challenge: Practice Your Skills Detection of Abnormality in CCTV Footage to Tackle Insecurity in Nigeria Using Computer Vision
  • The Statement

Detection of Abnormality in CCTV Footage to Tackle Insecurity in Nigeria Using Computer Vision

Challenge Started!

This Omdena Local Chapter Challenge runs for 5 weeks and is a unique experience to try and grow your skills in a collaborative and safe environment with a diverse mix of people from all over the world. 

You will work on solving a local problem, initiated by the Omdena Abuja, Nigeria Chapter.


The problem

Surveillance systems in offices, streets, or homes should be able to detect abnormalities in the environment in real-time to prevent crimes from happening or stop ongoing criminal activities. This preventive approach to solving crime will greatly decrease the loss/ destruction of properties and prevent fatal injuries/ loss of life in extreme cases. Using AI, we can alert people of danger in time and thereby improve the security conditions in the country.


The goals

  • Source for labeled surveillance video datasets for crime/ abnormalities.
  • Prepare data and develop fast deep-learning anomaly detection models for real-time usage.
  • Develop an interface to deploy a successful model for possible integration with surveillance systems (with alert capabilities).


Why join? The uniqueness of Omdena Local Chapter Challenges

Omdena Local Chapter Challenges are not a competition or hackathon but a real-world project that will grow your experience to a new level.

A unique learning experience with the potential to make an impact through the outcome of the project. You will go through an entire data science project lifecycle. This covers problem scoping, data collection, and preparation, as well as modeling for deployment.

And the best part is that you will join the global and collaborative community of Omdena with tons of benefits to accelerate your career.


Read more on how Omdena´s Local Chapters work


First Omdena Local Chapter Challenge?

  • Beginner-friendly, but also welcomes experts

  • Education-focused

  • Open-source

  • Duration: 4 to 8 weeks

Learn more