The new way of identifying micro-organisms and contaminants

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Our software and A.I. technology platform identifies micro-organisms and contaminants found in indoor and outdoor surfaces, water, and soil. 

Our system works through several simple steps. The A.I. system is first trained on various micro-organisms and contaminants. After proper trianing, we can provide a sample to the A.I. for evaluation using a high magnification microscope and a live-feed camera. The A.I. then evaluates, labels, and classifies whichever contaminants or micro-organisms are selected for detection. We gather the A.I.'s results and provide it to our clients. 

The software itself consists of several independent platforms and algorithms that manage and learn through machine learning, artificial intelligence, tagging, and labeling. Much of the system and data is proprietary and custom built.

Our intellectual property portfolio has many different families of software applications, hardware applications and components. Several artificial intelligence and machine learning patents that were filed include future nano-technology and hardware applications.

Our future development plans include incorporating drones, robots, and conveyor systems for autonomous and simplified manual sample collection. New sensors and technologies can be added to the A.I. detection system for expanded detection techniques. Future development of enhanced power and energy source management and implementation can also help us expand our capabilities.

Micro-Organism Identifying Applications from the past

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The challenge in the past was getting a quick and accurate reading of a sample collected on-site.  The overriding issue is obtaining the sample without it being tainted, and secondarily, transporting the sample to a lab to get results as soon as possible.

Current processes, techniques and technologies for microbe and contaminant identification takes between 24 to 48 hours, where the initial sample taken for examination needed to be obtained without disruption (tainting) and then transported to a lab. That time between the moment the sample was taken and the final result, depending on sophistication of equipment used and man-powered involved, could be as long as a week.

Most of the time involved was due to the time the microbe needed to incubate (or grow) in a petri dish. Our system cuts that time drastically.


Sample Collection In The Future

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How to obtain micro-organisms and matter without contaminating the sample?

One of our future applications we plan for development for obtaining samples is by using static electricity to attract microbes and matter to plates and slides. We can also use magnetics, sticky substances or just air flow for sample collection.

Once the sample is obtained, a drone and/or robot retrieves the slide and places the slide on a conveyor system that brings the sample to the A.I. detection system.

We would like to add this technology in the future to streamline our sample collection process.

Many forms of Data Points

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The best way to obtain accurate data is to obtain many data samples. Our application can utilize millions of data samples and data points to ascertain what singular form (and clusters thereof) of microbes and matter from pictures and other parameters. The data we collect will be proprietary and our training sets and data will be unique to us. The more data we have, the more accurate the system will become.

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