SpiffCam

SpiffCam is a professional grade application for monitoring and recording 1 to 64 IP cameras and Direct Show video sources, including USB cameras. .NET application runs as true 64 bit application on 64 bit versions of Windows, and as a 32 bit application on 32 bit versions of Windows. Fully supports IPv6, can view cameras over IPv4 and IPv6 and built in web server listens on both IPv4 and IPv6. Context sensitive menus and pullout controls maximize screen real estate for viewing cameras. Multi-adaptive motion detection constantly adjusts to changing conditions. Motion detection allows you to detect objects of certain size, and height versus width, not just that something has changed in the image like the shadow of a tree blown by the wind. Fire detection. E-mail with image attachment available on motion and fire events. SpiffCam supports all known IP cameras that deliver Motion JPEG (MJPEG) streams, with automatic URL detection of most cameras. Supports High Definition cameras up to 1920x1080. Supports any camera that has Direct Show support in Windows, like USB cameras. Axiz PTZ camera support. Recording formats include Motion JPEG and Motion JPEG XR, both can be recorded and played back simultaneously. Record up to 4x more on same size drives. Export all or part of recordings to Windows Video 9 format. Each camera can record to a different drive. Built in web server with SSL encryption and IPv4 and IPv6 support, allows monitoring of up to 64 cameras, four at a time, in a web browser. All cameras monitored by SpiffCam become MJPEG cameras, you can build complex systems with multi-site monitoring. Main display modes for 1, 4, 16 or 64 cameras. Cycle display of 4 or 16 cameras at a time, while continuing to monitor and record any non displayed cameras. Decide when you want a camera to record, you can define how a camera records by the hour for an entire week. Choose no recording, motion based recording, time-lapse recording, or full frame speed recording.

Whats new in this version:

Version 3.0.1 adds high quality fire detection based on color and flame motion characteristics.