This patent application discloses methods and systems for alerting computerized motor-vehicles about predicted accidents. In an example method, a motor vehicle alerts another motor vehicle about a predicted accident, even though that accident is between the alerting car and a third motor vehicle—for example, the alert is transmitted by non-visual electromagnetic (EM) radiation. When an adjacent motor vehicle receives such accident alert and determines it might itself be hit, it will react so as to minimize its chances of being hit or at least to minimize the damage if it is being hit. Optionally, one or more of the motor vehicles has an onboard device for measuring a blood-alcohol level of a human driver thereof. The measured blood-alcohol level may be used to compute a probability of an occurrence of an accident and/or may be included in one or more of the transmitted accident alerts.

The present invention is directed to a safety and security system for vehicles. The safety and security system include a computing unit mounted in a vehicle; one or more optical sensors in electronic communication with the computing unit, the optical sensors are configured for facial recognition and are positioned in the vehicle to capture a face and head movements of a driver. The computing unit equipped with the facial recognition technology and artificial intelligence determined the electiveness of the driver. In case the driver is inattentive, the safety and security system warn the driver and takes any precautionary measure, such as slowing down the speed of the vehicle.

The present invention is an AI motorcycle comprising a motorcycle, an AI device, a first plate image acquisition device, a second plate image acquisition device, a display device, and an alert device. Thereby, there are a smart movable investigation and crime prevention system, a multi-lane plate number and smart street lamp recognition system, a portable face recognition system, a portable drunk driving detection system, a mobile recognition integrated radar speedometer system, a mobile image recognition integrated RFID receiver, and equipped with multiple application functions, including a 360° panoramic camera for road condition recording and image analysis, a cloud database police network system implementation, a roadside parking billing plate recognition function, and a multi-lane plate number recognition functions are accomplished when riding the motorcycle on patrol.

Various embodiments provide systems and methods for identifying impairment using measurement devices.

A system for monitoring the sobriety of a user is provided. The system may include a testing device that generates a substance content signal. The testing device may further include a mouthpiece and a user identification device. The user identification device may generate user identification data in response to a user's breath and may transmit it from the testing device to a monitoring station. The testing device may further include at least one of an LCD screen or a light-emitting diode (“LED”) light. At least one of the LCD screen or the LED light may display at least one randomly generated visible identification indicia.

The present disclosure relates to an ignition interlock device and system for accurately detecting a drunk driver by running an interactive visual test presented for the driver to visualize on a screen of the alcolock device, which further comprises at least an eye gaze tracking module for recording eye movements and measuring gaze data, and a motor skill computing module for computing motion parameters from the sensor data measured during the interactive visual test. The alcolock device may further comprise a drunk detection module for measuring drunkenness of the driver by mapping gaze parameters and motion parameters to measure the mismatch between motor skills and cognitive processing performance, and a decision module for allowing the driver to drive the vehicle, or not, based on the measured drunkenness.

Various embodiments provide systems and methods for identifying impairment using measurement devices.

Systems and methods for diagnosing a condition in an individual by analyzing the individual's breath are provided. Sensors may be configured to capture data associated with the breath of an individual. The data captured by the sensors may include a change in resistance measurements recorded by solid-state sensors when the sensors are exposed to the individual's breath at several different temperatures. This captured data may be analyzed to identify one or more volatile organic compound (VOC) biomarkers in the individual's breath. Based on the identified VOC biomarkers, a condition associated with the individual may be determined. For example, a medical condition, or a condition of drowsiness or fatigue associated with the individual may be determined based on the VOC biomarkers in the individual's breath. In some examples, the sensors may be positioned inside a vehicle for determination of condition associated with a driver of the vehicle.

An occupant monitoring device includes processing circuitry to detect an eye of an occupant on a vehicle and to determine an eye opening degree of the eye using an image captured by an image capturing device having an automatic exposure adjusting function for adjusting an exposure time; to determine that the eye is closed when the eye opening degree of the eye is less than a predetermined eye opening degree threshold value; to deactivate the automatic exposure adjusting function when the automatic exposure adjusting function is active and the eye is determined to be closed; to detect brightness in a vicinity of the eye using an image which is captured by the image capturing device after the automatic exposure adjusting function is deactivated; and when the eye is determined to be closed, to determine that the occupant is in a drowsy state when the brightness in the vicinity of the eye is less than a predetermined brightness threshold value, and to determine that the occupant is in an awake state when the brightness is equal to or greater than the predetermined brightness threshold value.

A vehicle having one or more cameras, configured to record one or more images of a driver of the vehicle. The camera(s) can be configured to send biometric image data derived from the image(s). The vehicle can include a computing system configured to receive the biometric data and to determine a risk score of the driver based on the received biometric data and an AI technique, such as an ANN or a decision tree. The received biometric data or a derivative thereof can be input for the AI technique. The computing system can also be configured to transmit the risk score of the driver to the customer so that the customer can decide whether to book the vehicle for a ride.