Voice-based data collection for crash reports

Title:

Voice-based Data Collection for Crash Reports

Tech ID: 

2023-012

Status: 

Active 

Category:

Speech Recognition and Natural Language Processing

Executive Statement:

An AI-powered voice recording system that enables police officers to collect crash report data efficiently and accurately through natural speech.

Description:

This technology leverages advanced speech recognition and natural language processing techniques to enable officers to record crash scene data by speaking instead of manually entering information. The semi-automated platform transcribes and processes spoken descriptions, improving the accuracy and speed of data collection. This system supports comprehensive, error-free datasets for traffic engineering and enhances overall traffic safety management.

Key Advantages:

• Enables hands-free, natural voice data input for faster reporting
• Utilizes AI to achieve performance comparable or superior to humans in text-related tasks
• Reduces errors associated with manual data entry
• Enhances the accuracy and comprehensiveness of crash data
• Improves police officers' operational efficiency at crash scenes
• Supports safer and smoother road experience for the public

Problems Solved:

• Time-consuming manual data collection at crash scenes
• Human errors and inconsistencies in crash reports
• Delays in traffic safety data processing and management
• Limited accuracy and completeness of traditional crash data sets
• Operational inefficiencies for officers collecting data

Marketing Opportunity:

• Police departments and law enforcement agencies
• Traffic engineering and road safety analysis
• Emergency response and crisis management systems
• Insurance claim processing and accident investigation
• Smart city traffic and safety management platforms

Inventors: 

• Jee Woong Park
• Cristian Arteaga-Sanchez