Only walking from one light to the next takes already a while. The most challenging part is to provide a way in which detected devices are automatically mapped to a floorplan. 

• Design a pre-commissioning tool taking into account how big those buildings are from a UI/UX perspective.  

• Load existing CAD drawings or floorplans into a tablet-based application. 

• Let the user mark and name the locations of lights and groups of lights. 

• Query on site for existing devices which will give you a list of device identifiers. 

• Study the literature and design an algorithm (machine learning) that takes into account inter-device signal strengths and auto-place them on the map [1] 

• Query the devices for inter-device signal strength 

• Use some algorithm to map this to a topology. 

• Map this towards devices on the map. 

• Assign (repetitive) lighting control settings to sensors positioned in the drawing.  

• Introduce templates 

• Group selection, drag & drop, make the entire UI/UX smooth. 

[1] Drift Correction for SLAM Point Clouds: Smooth Natural Neighbor Interpolation, Kontinen, Kaapo (2023). 

Compensation: This internship is paid.