Python Job: Academic Internship in Video-based Activity Detect

Your contribution to something big:

In a steadily growing market of mobility service providers, the safety of drivers and passengers is becoming increasingly important. Hence, we have taken
the challenge and are sensing the interior of a vehicle with an AIoT device containing a variety of sensors. We are investigate the video signal in more
detail in order to be able to classify the actions taking place inside of the vehicle to ensure safety as well as providing comfort features to our customers.

In the course of topic, we have already carried out research that can be built upon. The master thesis will consist of the development of a deep learning
architecture to detect activities of single individuals and/or interactions of humans in the vehicle.

The main objective of this master thesis is the study and evaluation of the different state-of-the-art approaches used for video based activity detection, followed
by the proposal, implementation and validation of a ML/DL algorithm to identify predefined activities.

• SOTA Analysis: analyze current state of the art literature in deep learning techniques applied to this computer vision based problem
• Requirements Definition: define feature objectives and requirements / evaluate best suitable SOTA approaches for the defined usecase
• Data Wrangling and Analysis: explore/analyze then cleanse/preprocess provided dataset
• Implementation and Evaluation: implement and training different models based on SOTA Analysis and evaluate your results and improvements
• Documentation: write documentation about your findings and your code (English preferred)

Qualifications

What distinguishes you:

• Attending a Master Degree in Computer Science, Computer Engineering or similar areas;
• Basic SW development skills (preferred Python & C++);
• Applied experience in ML / Deep Learning;
• Good English Skills (writing & speaking).

Additional Information

What we offer you:

Challenges in an international environment | career opportunities in one of the best companies in the world | flexible hours | medical services | discounts for employees | sports and health related activities | canteen | good access to public transports | space for creativity.

Success stories don´t just happen. They are made...

Make it happen. We are looking forward to your application!