Development and Evaluation of Advanced Image Recognition Plugins
The Hansken Team is always looking for new innovative inspiration, and one of the entrances to new knowledge is via academia. As a student, you can join the Hansken Team by engaging into an internship. Below, you find one of the directions that can inspire you to design your own research or assignment. Contact us for more information.
Project Description
This project focuses on developing extraction plugins for Hansken for advanced image and video analysis, emphasizing face detection and creating embedding vectors for facial recognition. The goal is to replace or supplement existing systems like the Forensic Image Recognition Engine (FIRE), which uses outdated models, with state-of-the-art machine learning models capable of analyzing images and videos faster and more accurately. Students will evaluate and test various modern algorithms, aiming to integrate the most effective solution into Hansken.
Why This Project Is Interesting
In an era where visual data is growing exponentially, this project offers the opportunity to equip Hansken with the latest technologies in image recognition. This is crucial for identifying individuals and objects in investigations, leading to faster and more accurate results.
Skills
- Machine Learning
- Computer Vision
- Python
- Data Analysis
- Evaluation and Testing