The CanSLAM Circuit is cutting through the marketing campaigns and indirect internet searches to bring you informed choice and confidence in a product that could either cost you or save you tens of thousands, hundreds of thousands, or millions of dollars.

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We want to make sure those who use this technology or wish to understand it have an impartial resource. Through this, successful investment and realistic expectation of performance walk hand-in-hand with success.

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But the initial purchase is just the industry 'entry fee,' and knowing what it does doesn't necessarily explain how it will perform. Learning from mistakes and poor application, or missing out on opportunities due to lack of awareness in potential can truly be the most costly part of the process. Our goal is to provide our community with considerations and strategies for SLAM system adoption. With this we hope to help you avoid pitfalls and misperceptions that could lead to lost revenue or damaged reputation.

 

We also want make sure this technology becomes better, faster, and more versatile year-on-year with seamless and more reliable downstream services available for industry users. For this, we offer a place for manufacturers to come together and compare against each other in a non-competitive environment. We do this with the knowledge that students, industry, and manufacturers alike will see the showcased 'status of the present' and use it as a motivator for future development and application.

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With the help of post-secondary institutions like the Southern Alberta Institute of Technology (SAIT.) the University of New Brunswick, and British Columbia Institute of Technology (BCIT,) and professional organizations like The Committee and the Reality Capture Network (RCN,) the CanSLAM is poised to help develop the students of today into the knowledgeable workers you're going to need as the information gap continues to increase.

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The CanSLAM also recognizes that the innovators of artificial intelligence and computer vision of today are in dire need of data sets for development and educational/industry feedback. The CanSLAM promotes the use of this data for further development toward computer-based understanding of our real-world environment. This way the automated systems of tomorrow have a library to build off of while being trained on what our world looks like.

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The CanSLAM is poised to be a central hub for information for innovators of any industry looking for a guiding hand in putting their reality capture or digital twinning aspirations to the test and bringing their visions to life.