ThinkIQ developed a manufacturing software platform focused on the flow of materials through the manufacturing process rather than the health of specific machines. I’ve had several interviews over the past couple of years with executives I’ve known for years from previous gigs. You can check them out here, here, and here.
I recently conducted an interview with Doug Lawson, CEO, Brian Anderson, CMO, and Rob Schoenthalar, CRO to discuss an added feature to their offering. They have added vision as a sensor attempting to solve a sticky problem for manufacturing management.
The problem? ThinkIQ’s customers are still effectively blind to up to 70% of events on the Factory Floor. Current safety practices are primarily reactive and rather than averting any unfortunate incident in the first place, these procedures only provide solutions to salvage a regrettable situation.
The solution? Enhancements to its Vision Platform.
Locating cameras in strategic locations around the plant facility, Think IQ can look at safety and correlations among activities. Maybe checking events of ship, store, manufacturing, looking for root causes. They offered an example General Mills has publicized where they recorded savings of $40 million out of oats for making Cheerios. They also avoided multiple recalls by detecting gluten entering the process before manufacturing.
An MES or other software may not always record every aspect of a process. Merging cameras with their MES, ThinkIQ can add much more data plus analysis to discover more problems. Their cameras do not do parts inspection. They observe movement and behavior generating what they call “Operational Data Streams.” Now ThinkIQ can combine data about material flow plus what machines are doing plus what people are doing. Operations does not need to ask operators to fill out HMI screen forms about what happened. ThinkIQ’s value add is intellectual property around AI/ML looking for patterns in the data.
From the press release:
The latest version of ThinkIQ Vision now has out-of-the-box abilities to detect and digitize dozens of common manufacturing events including:
- Vehicle activities in receiving and shipping
- Material movements and presence
- Anonymous People presence and activity
- Machine state and physical events
- Andon light status
- Safety violations
- Values from legacy analog and disconnected digital displays
- Values from stand-alone displays