The use of marijuana, whether for medicinal or recreational purposes, has grown rapidly within the United States during the past few years. This growth is said to be due to the wave of legalizations that has swept through several states as well as the changing public attitudes towards this controversial plant. The growing use of marijuana has presented a huge challenge to both law enforcement agencies and employers as they work to detect and prevent cannabis impairment on the roads and at workplaces.
Many have looked to breathalyzers to provide a way to quickly identify someone who is acting under the influence of cannabis. Breathalyzers are familiar technology, and they are easy to use in the field. However, there is currently no verifiable way to link the presence of THC metabolites in the body to a degree of impairment.
This challenge stems from two key factors. First, THC can remain detectable in someone’s body several weeks after they consume marijuana, so a positive test for THC isn’t reliable evidence that a person is impaired. Secondly, different people respond differently when they use marijuana, so having a certain concentration of marijuana in the blood (or whatever sample has been analyzed) isn’t proof beyond reasonable doubt that an individual is impaired.
A new impairment test looks set to settle this debate on how to assess cannabis impairment once and for all. The artificial intelligence (AI)- and VR (virtual reality)-based device is focused on measuring actual impairment rather than on detecting how much THC is present in an individual’s blood, saliva or other biological sample.
The Gaize Cannabis Impairment Test, developed by Gaize AI, seeks to provide video evidence to confirm or rule out marijuana impairment. The person being tested wears a VR headset and performs half a dozen tasks as sensors on the headset monitor the eye movements of the test subject. The logic behind this test is that every substance has a different effect on the eye movements of a person. The tests require approximately five minutes, with an additional two minutes needed to crunch the numbers and provide the results of the impairment test.
Ken Fichtler, founder and CEO of the company, says that his system is up to 90% accurate in detecting impairment, and the machine learning tech it runs on can allow the system to improve its degree of accuracy. He thinks that once the device is widely deployed, the hurdle of getting marijuana federally legalized could be reduced since one of the current challenges in the way of legalization is the difficulty of measuring impairment.
The handy device can also be used to test employees just before their shifts begin, so there is a lot of potential for the usability of this impairment test. These more precise testing methods could enjoy the support of the marijuana industry and its actors such as American Cannabis Partners because the accuracy tests would eliminate the possibility of people being unfairly victimized for using recreational or medical marijuana several days or even months before they were tested.
NOTE TO INVESTORS: The latest news and updates relating to American Cannabis Partners are available in the company’s newsroom at https://cnw.fm/ACP
CNW420 spotlights the latest developments in the rapidly evolving cannabis industry through the release of two informative articles each business day. Our concise, informative content serves as a gateway for investors interested in the legalized cannabis sector and provides updates on how regulatory developments may impact financial markets. Articles are released each business day at 4:20 a.m. and 4:20 p.m. Eastern – our tribute to the time synonymous with cannabis culture. If marijuana and the burgeoning industry surrounding it are on your radar, CNW420 is for you! Check back daily to stay up-to-date on the latest milestones in the fast -changing world of cannabis.
To receive instant SMS alerts, text CANNABIS to 21000 (U.S. Mobile Phones Only)
For more information please visit https://www.CNW420.com
Do you have questions or are you interested in working with CNW420? Ask our Editor
CNW420 is part of the InvestorBrandNetwork.