Prix sur demande

VGA Color Day/Night Intelligent-Video IP Camera
with Built-in Video Analytics

Datasheet

Demo

Available February, 2010

The compact all-in-one ioicam sc1dn offers high performance video analytics in an entry level IP security camera to achieve a cost effective high-performance automated surveillance solution that makes intelligent video more affordable to deploy and easier to operate.

The ioicam sc1dn’s affordable price and ease of use make it particularly practical for mid-sized entities such as remote monitoring, educational and logistics centers, and other commercial sites.

Embedded with ioimage video analytics, time-tested and utilized by government and commercial organizations under harsh environmental conditions, the ioicam sc1dn also provides a suitable solution for high-end installations such as government institutions and homeland security.

Easily set up and operated via a standard web browser, the camera can be configured and managed using ioimage command center software and seamlessly integrates with leading NVR and management platforms.

Built-in applications include Intrusion Detection, Tripwire Crossover, Fence Trespassing and Camera Tampering. The unit can also be easily configured to detect unattended baggage, object removal, loitering and stopped vehicles.


Highlights

• Built-in high-performance video analytics
• Integrated WEB (HTTP) Server for live monitoring and configuration
• Self sustained -requires no additional components for video analysis
• Hybrid support for both analog and IP network streaming architectures
• MJPEG, MPEG-4 video streaming
• Supports remote field-deployment with easy configuration and software upgrades over a network
• Exceptionally low noise levels and low light performance
• Automated sensitivity adaptation for minimal maintenance
• Automatic actions can be triggered upon detection
• Integrated scheduler
• Dynamic Range up to 82 dB
• Color/black & white hybrid analog/IP camera
• Outdoor day/night environment capabilities provide detection and tracking in low light