“We’re able to cut down deployment time from, say, one hour to just 10 minutes,” said Krittin, who bears the title of dConstruct’s robotics engineering manager.
The d.ASH Xplorer is what processes d.ASH Pack’s data to generate 3D maps. It can be paired with a suite of additional features for various industries.
In construction, for example, the system can automatically compare the scanned data with predesigned 3D models, allowing for progress tracking. The d.ASH Xplorer employs machine learning to detect and analyse objects and people in the scan, filtering out unnecessary elements.
MENTOR
But Krittin is not just a talented builder of machines and systems — he also helps build crucial human capital for the startup.
Because of the difficulty faced in hiring experienced AI robotics engineers, dConstruct pursued instead “the strategy of working with interns from reputable institutes of higher learning” in the hope of “converting them to full-time staff”, said Lim.
This was possible, he said, because of “managers like Krittin who are very conscientious (about) imparting the skills, … (and) willing to train and teach the next generation of engineers”.
Take Koh Yang Kai — now a full-time engineer on the staff — whom Krittin has mentored since he started as a part-time intern over two years ago. He said Krittin often went the extra mile and provided case studies of existing products to address challenges they faced during the design process.
