Shipping Label Scanner

The Challenge

In logistics and shipping operations, manually identifying carriers and extracting tracking information from shipping labels is time-consuming and prone to human error. When processing multiple packages, this inefficiency compounds, creating bottlenecks in warehouse operations and increasing the risk of misrouted packages.

The Solution

I developed an intelligent computer vision system that uses camera input to automatically detect and analyze shipping labels in real-time. The system employs advanced image processing and optical character recognition (OCR) to:

• Identify major carriers - Recognizes UPS, FedEx, through logo detection and label formatting
• Extract tracking numbers - Uses OCR technology to accurately read and parse tracking codes, even from angled labels
• Parse shipping details - Extracts additional information such as destination addresses, sender information, and service levels
• Real-time processing - Provides instant feedback and data extraction, enabling seamless integration into existing workflows

Impact

The system significantly reduces manual data entry time, minimizes errors in package processing, and streamlines warehouse operations. By automating carrier identification and tracking number extraction, the solution enables faster package sorting and improved logistics efficiency.