Model Development for Automatic Parking Sign Recognition – 90% Accuracy Including Recognizing Unstandardized Signs

Name: Intetics Inc
Address: 10001 Tamiami Tr N, Ste 114, Naples, FL, 34108, US
Telephone: +1-239-217-49-07

Model Development for Automatic Parking Sign Recognition – 90% Accuracy Including Recognizing Unstandardized Signs Case Studies, 11 - intetics.com

Client

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.

Challenge

Building a web service with ML pipeline to automate data processing for parking sign recognition.

Benefits and Results

The algorithm identifies 85%+ of signs on the streets in the city, 90%+ identified correctly.
All the ML and data processing algorithms were implemented in a single web app with a detailed description of the model and project documentation.
The Client received a solution that automated parking sign detection and reduced the workload.