CAMS Image Library

Clipper Asset Management System Image Library - A Java Swing application for managing digital image assets.

CAMS Image Library is a desktop application built with Java Swing that provides a comprehensive solution for managing, cataloging, and processing digital images. It connects to a SQL Server database to store metadata and uses ImageMagick for image processing operations.

• Image Cataloging: Organize images into catalogs and categories
• Database Integration: SQL Server backend for metadata storage
• Image Processing: Integration with ImageMagick for thumbnail generation and image manipulation
• Search Functionality: Advanced search capabilities for finding images
• Batch Operations: Process multiple images at once
• User Management: Login system with user-specific temporary directories

• Java 8 or higher
• ImageMagick installed on the system
• SQL Server database access
• Maven (for building)

The application uses a cams-image.properties file for configuration:

# Database connection
dbConnectStr=jdbc:sqlserver://your-server:1433;databasename=CAMS;encrypt=mandatory;trustServerCertificate=false;loginTimeout=30;hostNameInCertificate=*.database.windows.net;authentication=SqlPassword
dbUser=your_username
dbPass=your_password
# ImageMagick configuration
ImageAppDir=/opt/homebrew/bin/
TempDir=/tmp
# Acrobat Reader (if needed)
AcrobatReader=/Applications/Adobe Acrobat Reader DC.app/Contents/MacOS/AdobeReader

mvn clean package

This will create a JAR file in the target directory with all dependencies included.

java -jar target/cams-image-{version}.jar

Or if you have a pre-built JAR:

java -jar cams-image.jar

• cams.startup: Application startup and initialization
• cams.database: Database connection and operations
• cams.imagelib: Main UI components and image library functionality
• cams.imaging: ImageMagick integration for image processing
• cams.console: Logging and console output utilities

• Microsoft JDBC Driver for SQL Server (TLS 1.2 compatible)
• Apache Commons Logging
• PDFTextStream (for PDF processing)

• Updated to use modern Microsoft SQL Server JDBC driver with TLS 1.2 support
• Fixed compatibility issues with newer Java versions
• Updated Maven build configuration
• Enhanced database connection handling for Azure SQL Database

Copyright (c) 2004-2025 Clipper Digital. All rights reserved.

For support and issues, please contact the development team.