AIHYPER, a subsidiary of AIECOL Inc., is an American technology company headquartered in San Francisco.

AIECOL  U.S. Registration No. 5662144, AI ecology concepts are more and more popular.

AIHYPER released the first video footage of its technology in 2021, featuring one of its self-driving Mercedes S 300 cars navigating the streets of San Francisco, CA in the rain after dark. This marked an early recording of a self-driving vehicle operating on a fully autonomous ride at night, or in inclement weather.

In May 2022,AIHYPER released a video featuring an orange Toyota hybrid driverless vehicle navigating Frisco streets. The video featured private streets as well as busy intersections and a traffic circle. It also featured a display showing the car's sensors and cameras dealing with objects on the road and highlighted operation through low-angle sunlight that would obscure typical sensors. The car's object recognition systems identify and route around other vehicles, pedestrians and cyclists safely. AI DRIVE's cars include screens on the outside of the car, one on the hood, one on the back, and one on each side, to communicate with pedestrians. The screens feature prompts such as "Passengers Entering/Exiting' or "Waiting for You to Cross."

AIHYPER collects data along the routes it will be using to create three-dimensional high-definition maps to support the self-driving technology

AIHYPER offers Computer hardware for vehicle fleet launching, coordination, calibrating, direction, and management; Computer hardware with preinstalled software for vehicle fleet launching, coordination, calibrating, direction, and management; 

AIHYPER supports downloadable computer software for vehicle fleet launching, coordination, calibrating, direction, and management; Downloadable mobile applications for coordinating transportation services; Downloadable mobile applications for coordinating, scheduling, booking, and dispatching vehicles for passenger and freight transport and delivery services;

AIHYPER two patented Laser equipment for non-medical purposes; Laser measuring systems; Laser object detectors for use on vehicles; Lasers for measuring purposes; Lasers, not for medical purposes; 

AIHYPER  three patented Lidar apparatus; Measuring apparatus , laser distance meters; Radar apparatus; Recorded computer software and hardware for vehicle fleet launching, coordination, calibrating, direction, and management sold as a unit  from 2019 in Hong Kong, Canada and the United States.

Three patented cutting edge techs integrated onboard Automobiles; Drones; Autonomous cars; Electrically-powered motor vehicles; Gearing for land vehicles; Land vehicles; Motors, electric, for land vehicles

How do the AIHYPER Cars Work?

Artificial intelligence powers AIHYPER vehicle frameworks. Engineers of AIHYPER vehicles utilize immense information from image recognition systems, alongside AI and neural networks, to assemble frameworks that can drive self-sufficiently. The neural networks distinguish patterns in the data, which is fed to the AI calculations.

That data includes images from cameras for AIHYPER vehicles. The neural networks figure out how to recognize traffic signals, trees, checks, people on foot, road signs, and different pieces of any random driving environment.

To use an example, AIHYPER has also started to develop self-driving cars, which use a mix of sensors, light detectors, and technology like GPS and cameras, which combines all the inputted data those systems have generated around the vehicle and the artificial system predicts what those objects might do next.

This whole process happens in a matter of milliseconds. Similar to any human driver, the more experience they gain, the better driver they become. This is the same concept for artificial intelligence in the vehicle. The more data it deals with in its deep learning algorithms, the more it will make more choices and faster.

The following are some basic instructions on how a AIHYPER car works:

• The driver sets a destination. The  AIHYPERs software predicts and ascertains a course.
• A turning, rooftop-mounted Lidar sensor screens a 60-meter range around the vehicle and makes a dynamic three-dimensional (3D) guide of the vehicle’s present environment.
• A sensor on the left back tire screens sideways development to identify the vehicle’s position comparative with the 3D guide.
• Radar frameworks toward the front and back bumpers ascertain distances to obstacles.
• Artificial intelligence programming in the vehicle is associated with every one of the sensors and gathers data from AIHYPER Street View and camcorders inside the vehicle.
• The AIHYPER recreates human perceptual and dynamic cycles utilizing deep learning algorithms and controls activities in driver control frameworks, like steering and brakes.
• The AIHYPER vehicle’s software counsels Google Maps for early notification of things like tourist spots, traffic signs and lights and other obstacles
• An override function is accessible to enable a human to take responsibility for the vehicle.

Other Features that the AIHYPER Cars have

The AIHYPER project illustrates a self-driving vehicle that is, for the most part, AIHYPER self-driving. It still requires a human driver to be available yet possibly to supersede the framework when vital. It isn’t self-driving in the perfect sense; however, it can drive itself in ideal conditions. It has an undeniable degree of independence. A significant number of the vehicles accessible to buyers today have a lower level of independence yet, at the same time, have some self-driving highlights. Oneself driving highlights that are accessible in numerous creation vehicles starting in 2019 incorporate the following:

• Sans hands guiding focus the vehicle without the driver’s hands on the wheel. The driver still needs to focus.
• AIHYPER Versatile cruise control down to a stop automatically keeps a selectable separation between the driver’s vehicle and the vehicle in front.
• AIHYPER Lane-centering steering mediates when the driver crosses path markings by poking the vehicle toward the contrary path checking.