Equipment Pricing 

• Climate-protected enclosure — IP66 rated, with no moving parts or ventilation openings, requiring no dedicated room or cooling system

• Dimensions: 165 × 127 × 71 mm

• Application: indoor and outdoor, stationary installation

• Operating temperature range: -30°C to +25°C

• USB flash storage for archive recording — 128 GB

• RAM — 8 GB

• Graphics output resolution — 8K

• Controller for 4 sensors and 4 relays

An HDD is added inside the protected enclosure with climate protection and thermal overheating management.

• HDD archive capacity — 2 TB.

A special enclosure with a high-performance heatsink allows the device to operate in extreme temperatures.

• Operating temperature range: -40°C to +40°C.

Reducing the cost for users who do not plan to use sensors and actuator devices.

• The upper board shown here is not included.

An 8-IP-camera network switch with PoE power supply is added.

• Number of additional RJ45 connectors — 8

• Total available power supply for cameras — 60W

(Please pay special attention to this parameter. Some PTZ cameras with powerful IR illumination consume more than 10W, and in such cases certain cameras may require a separate cable connection bypassing the VideoBlazer.)

A convenient solution for installations where cameras and the Blazer are connected by cables extending in different directions from a network hub equipped with a PoE power supply system.

There is no need to run a separate power cable for the VideoBlazer.

• Required power consumption for the VideoBlazer — 20W.

Automatic recovery system for network and other equipment in the event of connection loss.

The Blazer continuously pings an external address and power-cycles electrical outlets if the connection is lost.

• The “SL-Reloader” restart device is supplied separately. The Blazer only controls it.

In the base configuration with 8 GB RAM, it is recommended to run only one neural network block per camera. Increasing the memory to 16 GB makes it possible to use two to three neural network blocks.

There are no software limitations on the number of neural networks in either configuration. However, when too many neural networks are used on each camera, processing speed decreases and the accuracy of fast event detection becomes lower.

The memory is soldered directly onto the board and cannot be upgraded. Increasing memory capacity is only possible by replacing the entire device.