Computer Vision Intern

vor 3 Monaten


Berlin, Deutschland svarmony Vollzeit

Do you want to be at the forefront of innovative projects and take advantage of the unique opportunity to play a significant role in shaping new worlds? Then become part of our team as an Computer Vision Intern, part-time (20 hrs+), at svarmony. As an Intern for Computer Vision you are part of the development of an innovative product and learn about state of the art Computer Vision methods.

**Your skills**:

- Computer Science/Engineering or related fields student
- Computer Vision experience
- Coding experience with any modern language, preferably Python or C++
- Familiar with coding best practices
- Comfortable with git, bash and Linux operating systems
- Ability to do research and run experiments comparing performance of various algorithms and communicate results to the engineering team
- Attention to detail and sense of code ownership
- Understanding of JSON file structure
- Enthusiast about AR and Indoor navigation
- Motivated to work with cutting edge computer vision technologies
- Located in the area of Berlin/Munich
- Nice to have:

- Experience with using or acquiring point clouds
- Performing 3D lidar or stereo depth scanning
- Working with Structure from motion software
- ML experience
- AR experience

**Your tasks**:

- Research on visual localization algorithms, object tracking, people detection and structure from motion
- Implement computer vision algorithms to improve our computer vision pipelines
- Acquire accurate measurements of an environment with a 3D scanner
- Operate and configure 3D scanner hardware and software
- Analyse and ensure correct point cloud alignment
- Compare images based on visual similarities and overlap of features
- Edit JSON files to sort image names into categories
- Label ground truth data
- Check accuracy and validity of labelled ground truth data
- Research on object tracking and people detection
- QA testing
- Travel to scanning locations
- Learning opportunities:

- Be part of a product’s development in the AR sector
- Be part of the product’s QA process
- Handle and operate a 3D scanner
- Learn how to record ground truth data images and panoramas with different devices



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