Event driven wakeup allows for our technology to identify motion through data pruning, object tracking, and participatory firing neurons at the pixel level. Examples of this would be a target entering the room, pedestrians crossing the street, package delivery at a doorbell, etc. Competitive solutions can be so slow that the system struggles to keep up with fast moving external factors and therefor cannot offer closed loop object tracking which we can offer in the charge domain.


Gesture control sensors can operate in the 50mW range, but the current level of processing takes too much power for handsets or watches. AIS technology enables this function by making it usable in portable applications.


Home automation systems monitor and control home characteristics such as security or access, lighting, climate, appliances, entertainment systems, vacuum systems, etc. Many touch-free solutions from security systems to soap dispensers, rely on infrared sensors to detect or interference and trigger a reaction. In an IR system, the IR beam is broken or reflects upon a foreign object in the path of the sensor and the system defaults to triggering the reaction programmed into it. Our event-driven wakeup mechanisms are a departure from the typical polling or comparator approach and is the only solution to truly integrate the AI directly into the imager.


Battery limitations alone have meant that “smart” eyeglasses must be attached to some obtuse and intrusive power source (such as a battery pack), with limited life and functionality. Computing power is also a problem, because of the tiny area in which to use silicon on most glasses frames they are limited in CPU and RAM capabilities unless they want to draw large amounts of power. Even as microchips continue to get smaller, there is only so much usable surface area on the standard eyeglass frame to work with. Until now, these major problems seemed almost impossible to solve. The solution that AIStorm is bringing to market, combined with proven biometric sensors and algorithms, will be a first for the eyeglass wearables industry.


Despite the seeming ubiquity of “smart” appliances in the consumer technology space, many appliances available today lack true intelligent functionality. What are marketed as “smart” products are really highly pre-programmed devices with wireless capability that can be accessed at a distance over a home internet network. Through the use of our low-resolution imager with AI and event-driven operation, new appliances can now can be given the truly intelligent functionality that they have promised for so long.


Current gaming devices struggle with keeping high performance while also keeping battery power low. Our technology uses our electron multiplier in the pixel and sends out high-speed spikes (pulses) - a pulse pixel. AIStorm's ultra-high frame rate, low power, and high accuracy allow for a seamless gaming experience.


Smart toys can aid in learning, but can pose risks if they are not designed to protect children’s data and safety. Since our images will be saved in memory, the user does not have to worry about ID privacy or misuse of device if it is lost. Smart toys help children develop creativity, the ability to process information, solve problems, and express emotions.


Gathering biometric information while in motion is hard. Digital systems need complex arbiters to ignore background information like trees, cars, rain, snow, wind, clouds, debris, etc. and focus on faces. With our technology, the cost and complication of digital processing is not needed.


Freeing personnel from redundant tasks and lowering costs for consumers, AI is already redefining the food industry. AIStorm is partnered with leaders in the food equipment industry to help usher in the next generation of AI-powered products.


AI-augmented medical machine diagnostics is helping the medical industry reduce errors, distribute leading techniques and bring their services to remote locations. AIS technology can help improve medical devices by improving performance and lowering costs.


Voice is a key human interface device (HID). Already cell phones and stand-alone devices offer high-performance voice solutions. However, they are often dependent upon the cloud for operation. By pushing more capability into the device, bandwidth requirements can be reduced and the technology can be used for transportation and other applications where the cloud connection may not be reliable.

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