'Mode' Aims to Take the Guess Work Out of Cannabis Consumption
Ellen Smith — January 12, 2021 — Tech
A smart vaping device dubbed 'Mode' aims to take the guess work out of cannabis consumption, offering consumers a tech-driven solution to a common smoker's woe. Inhaling cannabis can often be a bit of a guessing game. Different strains produce different highs, and therefore require different amounts. On top of it all, different forms of consumption, and different devices also equal a unique high.
Mode aims to solve this problem through the use of a high pressure sensor and a predictive algorithm. As an end result, the device can determine how big or small of a puff the user is taking, while the algorithm works to determine how many mg of cannabis were in that puff.
The device made its debut at CES 2021.
Image Credit: Mode
Mode aims to solve this problem through the use of a high pressure sensor and a predictive algorithm. As an end result, the device can determine how big or small of a puff the user is taking, while the algorithm works to determine how many mg of cannabis were in that puff.
The device made its debut at CES 2021.
Image Credit: Mode
Trend Themes
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Smart Cannabis Consumption — Opportunities for developing more tech-driven solutions to common problems related to cannabis consumption.
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Predictive Algorithms for Personalized Consumption — Developing predictive algorithms to determine personalized consumption requirements to enhance the user experience.
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High-pressure Sensors for Cannabis Devices — Incorporating high-pressure sensors into cannabis devices to provide more accurate measurements.
Industry Implications
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Cannabis Technology — Developing innovative products and software solutions for cannabis consumers using cutting-edge technology.
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Health and Wellness — Exploring the potential health and wellness benefits of cannabis consumption and developing devices that can help people achieve those benefits.
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Consumer Electronics — Innovating new and exciting products for the expanding cannabis market using a range of consumer electronics technologies like predictive algorithms, IoT, and sensors.
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