Pedestrian Alert System

Platform

Google Cloud

Cloud AI

Artificial Intelligence

Cognitive Computing

Cloud Computing

Cloud Storage

Audio Storage

Dataflow

Model Training

Areas of Cognitive Computing

Cognitive Computing

Ability to Intake Information, Make Autonomous Decision

Artificial Intelligence

Intake Large Datasets

Produce Model from Datasets

Big Data

Creation of Data Sets to Build Models

Cloud Computing

Remote Hosting

Realtime Data Streaming

Description

The Pedestrian Alert System would be an embedded application within mobile devices which would automatically alert users to the proximity of a car using ambient noise as an indicator. It would intake noise and learn how to distinguish between engine sounds and other ambient noise by running the sounds through a model trained to hear those kinds of sounds. From this, a distance will be estimated from the user and the application will attempt to determine if the user is at risk of bring hit by a car. In the case a user is determined to be in danger, provide haptic and aural feedback to alert them of an issue.

Domain

Transportation and Warehousing

Transit and Ground Passenger Transportation

Support Activities for Transportation

Professional, Scientific, and Technical Services