Oct 12, 2021
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Completed
Model Development for Automatic Parking Sign Recognition – 90% Accuracy Including Recognizing Unstandardized Signs
$100,000+
more 1 year
United States
6-9
Service categories
Service Lines
Artificial Intelligence
Cloud Consulting
Software Development
Web Development
Domain focus
Technology
Programming language
Python
Frameworks
Flask
TensorFlow
Challenge
The Client delivers innovations for the automotive & transportation industries, such as real-time parking and traffic information and solutions for AV’s safety testing and deployment.
The Challenge was to build a web service with ML pipeline to automate data processing for parking sign recognition.
The Client delivers innovations for the automotive & transportation industries, such as real-time parking and traffic information and solutions for AV’s safety testing and deployment.
The Challenge was to build a web service with ML pipeline to automate data processing for parking sign recognition.
Solution
All the ML and data processing algorithms were implemented in a single web app with a detailed description of the model and project documentation.
All the ML and data processing algorithms were implemented in a single web app with a detailed description of the model and project documentation.
Results
The algorithm identifies 85%+ of signs on the streets in the city, 90%+ identified correctly.
The Client received a solution that automated parking sign detection and reduced the workload.
The algorithm identifies 85%+ of signs on the streets in the city, 90%+ identified correctly.
The Client received a solution that automated parking sign detection and reduced the workload.