Pedestrian Alert System

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由Desi McKeown

Pedestrian Alert System

Domain

Professional, Scientific, and Technical Services

Transportation and Warehousing

Support Activities for Transportation

Transit and Ground Passenger Transportation

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.

Areas of Cognitive Computing

Realtime Data Streaming

Remote Hosting

Big Data

Creation of Data Sets to Build Models

Produce Model from Datasets

Intake Large Datasets

Ability to Intake Information, Make Autonomous Decision

Platform

Google Cloud

Dataflow

Model Training

Cloud Storage

Audio Storage

Cloud Computing

Cloud AI

Cognitive Computing

Artificial Intelligence