Thesis: Multi-Camera Vision for Robust Object Detection

Scania Group; Södertälje kommun; On-site; SEK 134,000 - 179,000; Part time

Job summary

Scania Group invites a Master’s student to work on a 20-week thesis in Smart Factory Lab, focusing on multi-camera computer vision for improved detection and verification in production/logistics. The project aims to integrate Scania’s standard CV tool across multiple viewpoints to enhance robustness in industrial use cases.

Start date is January 2026, with interviews ongoing. A background check may occur, and the work is conducted on-site at Scania’s Södertälje facility.

Qualifications

• Master's student in a relevant field; start Jan 2026.
• Experience with vision? beneficial but not required.
• Ability to work with cross-functional teams.

Responsibilities

• Explore multi-camera information fusion to improve detection and verification.
• Evaluate robustness and accuracy of object detection across views.
• Develop a proof-of-concept using Scania tools in an industrial setting.

Skills

Computer vision

Multi-camera reasoning

Data analysis

Industrial integration

Education

Master's program enrollment

Tools

Scania CV tool

Job description

Scania Group invites a Master’s student to work on a 20-week thesis in Smart Factory Lab, focusing on multi-camera computer vision for improved detection and verification in production/logistics. The project aims to integrate Scania’s standard CV tool across multiple viewpoints to enhance robustness in industrial use cases.

Start date is January 2026, with interviews ongoing. A background check may occur, and the work is conducted on-site at Scania’s Södertälje facility.