CAMELBE3 - Machine learning and Intel RealSense for drowsiness detection

CAMELBE3 - Machine learning and Intel RealSense for drowsiness detection

Paulo Gurgel Pinheiro

Paulo Gurgel Pinheiro

, State of São Paulo

The CamelBe3 consists of a trained algorithm for predicting human behavior while driving, detecting drowsiness and drunkness.

Intel RealSense™, Artificial Intelligence, Robotics, Internet of Things

Description

Machine learning and Intel RealSense technology for detecting drowsiness, drunkenness and even for predicting if the driver is going to change lanes.

The algorithm is running into an Upboard/laptop with Intel RealSense for capturing facial expressions and eye movements patterns. We tried to create our own version of the Nystagmus Test (not using fingers or pen, but windshield wipers). So far it's not that accurate, but we're working on it.

Gallery

Video

Links

CAMELBE3 - REALSENSE TECHNOLOGY AND MACHINE LEARNING TO DETECT TEXTING WHILE DRIVING

CAMELBE3 - A.I. and Intel RealSense for Driver Drowsiness Detection and CHANGE LANES

Untitled

Paulo P. added photos to project CAMELBE3 - Machine learning and Intel RealSense for drowsiness detection

Medium b89ffd12 1f25 4bbf 84e4 5abf447469c1

CAMELBE3 - Machine learning and Intel RealSense for drowsiness detection

Machine learning and Intel RealSense technology for detecting drowsiness, drunkenness and even for predicting if the driver is going to change lanes.

The algorithm is running into an Upboard/laptop with Intel RealSense for capturing facial expressions and eye movements patterns. We tried to create our own version of the Nystagmus Test (not using fingers or pen, but windshield wipers). So far it's not that accurate, but we're working on it.

Untitled

Paulo P. added photos to project CAMELBE3 - Machine learning and Intel RealSense for drowsiness detection

Medium 4d75be99 9d42 4d7b 8f99 b435c2aed234

CAMELBE3 - Machine learning and Intel RealSense for drowsiness detection

Machine learning and Intel RealSense technology for detecting drowsiness, drunkenness and even for predicting if the driver is going to change lanes.

The algorithm is running into an Upboard/laptop with Intel RealSense for capturing facial expressions and eye movements patterns. We tried to create our own version of the Nystagmus Test (not using fingers or pen, but windshield wipers). So far it's not that accurate, but we're working on it.

Untitled

Paulo P. added photos to project CAMELBE3 - Machine learning and Intel RealSense for drowsiness detection

Medium 852c5720 cbd0 4ff4 a569 10682fdb99ae

CAMELBE3 - Machine learning and Intel RealSense for drowsiness detection

Machine learning and Intel RealSense technology for detecting drowsiness, drunkenness and even for predicting if the driver is going to change lanes.

The algorithm is running into an Upboard/laptop with Intel RealSense for capturing facial expressions and eye movements patterns. We tried to create our own version of the Nystagmus Test (not using fingers or pen, but windshield wipers). So far it's not that accurate, but we're working on it.

Untitled

Paulo P. added photos to project CAMELBE3 - Machine learning and Intel RealSense for drowsiness detection

Medium 53c07649 3050 4e32 b839 23bee0a8a21b

CAMELBE3 - Machine learning and Intel RealSense for drowsiness detection

Machine learning and Intel RealSense technology for detecting drowsiness, drunkenness and even for predicting if the driver is going to change lanes.

The algorithm is running into an Upboard/laptop with Intel RealSense for capturing facial expressions and eye movements patterns. We tried to create our own version of the Nystagmus Test (not using fingers or pen, but windshield wipers). So far it's not that accurate, but we're working on it.

Medium untitled

Paulo P. created project CAMELBE3 - Machine learning and Intel RealSense for drowsiness detection

Medium 53c07649 3050 4e32 b839 23bee0a8a21b

CAMELBE3 - Machine learning and Intel RealSense for drowsiness detection

Machine learning and Intel RealSense technology for detecting drowsiness, drunkenness and even for predicting if the driver is going to change lanes.

The algorithm is running into an Upboard/laptop with Intel RealSense for capturing facial expressions and eye movements patterns. We tried to create our own version of the Nystagmus Test (not using fingers or pen, but windshield wipers). So far it's not that accurate, but we're working on it.

No users to show at the moment.

No users to show at the moment.