Santa Claus is a Power User of ThinkIQ’s Computer Vision & Material Tracking System

Dec 21, 2022 8:00:00 AM / by ThinkIQ

The North Pole Times conducted a months long investigation that included dozens of interviews with elf helpers at the main toy factory. The elves requested anonymity to reveal just how much times have changed with the introduction of ThinkIQ’s machine learning, and computer vision.

Confronted with overwhelming evidence, Kris Kringle, who goes by the stage name of Santa Claus, admitted that his productivity was lagging badly, and he could no longer keep up with rising demand from billions of children. Mr. Kringle detailed the various ways that ThinkIQ’s computer vision has helped by exposing several blind spots in his opeations. For the first time he also admitted to outsourcing toy production to a very large Chinese contract manufacturer.

In the factory, the elf work centers were becoming less and less productive, especially as they typically spiked their eggnog with brandy during each break. With ThinkIQ’s computer vision and material tracking , Mr. Kringle was able to receive immediate alerts to line stoppages and imbalances. (Elves are very sociable and like to congregate together, even if there is no work for them.) To protect privacy, ThinkIQ obscures individual identities as a default and Mr. Kringle never uses computer vision for disciplinary purposes.

In his fabrication centers, ThinkIQ’s computer vision provides continuous monitoring and flags machines that have stopped or where there is no worker present to operate them. In many cases, elves were busy in quality control or tooling, not realizing their job was completed and a new toy was needed to be loaded in the machine.

Mr. Kringle also acknowledged the existence of major bottlenecks in his distribution center and yard that spikes on Christmas eve. With ThinkIQ’s cameras and IoT sensors, his yard and distribution center managers were able to better schedule deliveries and transfers. This increased throughput by 15-20% over last season. 

Finally, Mr. Kringle noted an unexpected benefit of improved safety and security from computer vision. Because ThinkIQ’s cameras never take breaks or blink, his team leaders were able to spot unwanted visitors, contractors who overstayed their scheduled times, maintenance crews napping on the job, and a wide variety of safety violations.


Thanks to ThinkIQ’s revolutionizing North Pole operations, Mr. Kringle is confident in meeting growing demand, lowering costs, and improving security and safety.


Happy Holidays from the ThinkIQ Team

Anthony Tarantino, PhD

Six Sigma Master Black Belt, CPIM (APICS), CPM (ISM)

Adjunct Professor, Santa Clara University – Smart Manufacturing Executive Education                                                  

Author of Wiley & Son’s Smart Manufacturing., The Lean Six Sigma Way (May 2022)

Senior Smart Manufacturing Advisor to ThinkIQ

LinkedIn Profile                      




Tags: Industry 4.0, smart factory, Computer vision and material tracking


Written by ThinkIQ

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