Available online or on-site, these instructor-led live Machine Vision (MV) courses explore the core principles and practical applications of Machine Vision through interactive discussions and hands-on exercises.
Machine Vision instruction is offered as either “online live training” or “onsite live training.” Online live training (also known as “remote live training”) is delivered via an interactive remote desktop. Onsite live training can be conducted at your local premises in Copenhagen or within NobleProg’s corporate training facilities in Copenhagen.
You can also take bus 26 or 7A and get off around Vesterbros Torv; from there it is a short walk.
By bus
Useful nearby stops include:
Vesterbros Torv (Vesterbrogade) — about 1 minute from the area.
Frederiksberg Allé (Vesterbrogade) — nearby.
Trommesalen (Vesterbrogade) — nearby.
Bus 26 and 7A serve the Vesterbrogade corridor.
København, Copenhagen
NobleProg København, Bredgade 37, København K, denmark, 1260
Near Amalienborg Palace & Royal Theatre.
If you arrive by train
If you arrive at Copenhagen Central Station (København H):
Walk to København H Metro.
Take the M3 or M4 metro toward Kongens Nytorv.
Get off at Kongens Nytorv.
Walk north toward Nyhavn, then continue along Bredgade.
Bredgade 37 is about 500 m / 6 minutes' walk from Kongens Nytorv.
Another easy option
Marmorkirken (Marble Church) Metro Station is also very close to Bredgade 37. The nearby Bredgade area is about 2 minutes' walk from Marmorkirken station.
By bus
There are bus stops around Dronningens Tværgade / Bredgade, so you can also travel by bus and walk the final few minutes.
This instructor-led, live training offered in Copenhagen (either online or onsite) targets intermediate-level professionals looking to utilize Vision Builder AI for designing, implementing, and refining automated inspection systems within SMT (Surface-Mount Technology) operations.
By the conclusion of this training, participants will be equipped to:
Establish and configure automated inspection workflows using Vision Builder AI.
Capture and prepare high-quality imagery for analytical purposes.
Apply logic-driven decision processes for identifying defects and validating procedures.
Produce inspection reports and fine-tune system efficiency.
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