FAQsLooking for more info? This should help!
How will SPECTOR help my business?
SPECTOR will improve the effectiveness, efficiency and accuracy of your current core shack logging process. Through automation, allowing for a safer, more flexible and enjoyable environment for your engineers and geologists.
How much time can SPECTOR save me?
SPECTOR will reduce your data entry by 90%! Allowing you to receive data in minutes vs. the weeks/months you are currently waiting.
Does SPECTOR eliminate geologists?
Not at all! The Kore team includes geologists who were tired of logging core day in and day out instead of utilising their knowledge and skills to do what they should be – analysing and decision making. We built SPECTOR to do just that.
How fast can the SPECTOR-Visual log Kore?
Currently the scanner logs up to 1,000 meters of core per day. If that’s not impressive enough, keep a close eye out because we have more features and improvements coming very soon…
What is the value of AI?
AI is essentially your geologist’s student, think of the geologists as Mr. Miyagi and the AI is its karate kid. It helps to automate and identify things like lithology, alteration, and veining.
What is AI & Machine Learning?
Artificial Intelligence (AI) is an area of computer science that broadly describes any technique that enables computer to execute tasks in an intelligence manner. Machine Learning (ML) is a subdomain of AI that describes techniques that enable computers to act intelligently by learning from examples and without being explicitly programmed. ML is used in many consumer products that we use every day such as Siri, Alexa, and Cortana’s speech recognition, the iPhone’s facial recognition, and Netflix’s movie recommendations.
Machine Learning works by training a model for a task using many hundreds, thousands, or millions of examples. A simple example of this process is pedestrian detection for self-driving cars. For example, given a camera mounted on the dashboard of my car, I’d like to train a model to alert me if there is a pedestrian in front of my car. For this training task, I’ll require thousands of dash camera photos with and without a pedestrian in the photo. As the ML model is presented with example after example, it starts to learn features from the photo that allow it to accurate classify it as either having a pedestrian in it or not. From this example, it’s easy to see how the same methodology can used for processing geoscientific imagery. Instead of training the model to tell us whether there’s a pedestrian in front of my car, we can train it to classify the lithology and alteration of rock core and detect and localize fractures and veins.
Where can I see a demonstration?
How long is the order to on-site process?
In just 8 weeks we can have SPECTOR ready and on-site, for you to begin.
How much does it cost?
Not as much as you think…. Contact us to find out.
Interested in investing/getting involved/becoming a partner?
If you want to get involved or find out more about how we can work together. Send us an email here.
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