Wellington-based project management tools company Psoda has applied machine vision AI to automate what it says is one of the most common frustrations with Agile project management: synchronising physical and digital kanban task boards.
According to Psoda, kanban boards that track tasks with colourful sticky-notes and are now commonplace in most software and project management offices, but after each team stand-up meeting one unfortunate team member is often left with the job of manually updating the project management software.
For large projects, Psoda estimates that kanbans that previously took nearly an hour to update can now be done in five minutes.
"The PsodaVision app lets Agile teams upload a photo of their kanban into Psoda’s project management software where computer vision algorithms automatically identify cards in the photo and detect which column and position they are in now," it says.
"The user confirms this is correct and enters the description of any new cards while AI automatically handles any overlaps, rotations or background noise on the cards."
According to Psoda’s CEO Bruce Aylward using computer vision to bridge the gap between physical and electronic kanban boards n this way is a world-first.
“Different development teams have different preferences for whether their Kanban boards are physically on a wall in their office or purely online, but with PsodaVision we’ve made it easy to take advantage of both approaches," he said.
“When we first set out to add this to our suite of project management tools, we thought we might be able to plug-in an existing tool. We were surprised to find that no one had already done this so we decided to build it ourselves.”
Psoda says its suite of cloud-based portfolio, programme and project management software is used around the world to manage in excess of $10 billion worth of programmes and projects.
NZ clients include the Ministry of Education, Land Information NZ, Hutt Valley DHB and Countdown.