Pro-Cameras

STARVIEW AI FIRECAM

Augmented with visible light imaging and visualized metadata, Starview Thermal Cameras are the ideal choice for enhanced awareness of events and emergencies 24/7.

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  • #22038
Tags: STARVIEW AI FIRECAM
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Email: Sales@starviewint.asia
 »Overview
Any object with a temperature above absolute zero emits a detectable amount of infra-red (IR) radiation. The higher an object’s temperature, the higher intensity of emitted IR. Taking advantage of the differences in IR intensity between objects, thermal cameras make the invisible IR “visible” in the form of heat zone images.
Covering Security and Thermography, Starview Thermal Cameras guarantee layered situational awareness across a range of scenarios such as perimeter protection, temperature measurement, and fire detection. They “see” from extended distances under virtually any light or weather condition, distinguishing people and vehicles from other objects with Deep Learning capabilities. Augmented with visible light imaging and visualized metadata, Starview Thermal Cameras are the ideal choice for enhanced awareness of events and emergencies 24/7.
 »Feature
1. Clear Imaging
With advanced features such as automatic gain control, digital detail enhancement, and 3D digital noise reduction, Starview thermal cameras offer crystal clear thermal imaging.
• Auto Gain Control (AGC)
• Bi-Spectrum Image Fusion
• 3D Digital Noise Reduction (3D DNR)
2. Accurate Temperature Measurement
Through strict calibration and standardized testing procedures, Starview has established a temperature measurement model that offers great stability and high accuracy – up to ±2° C or ±2% (whichever is greater).
In addition, Starview thermal products support multiple temperature measurementrules including point, line, and frame measurements. Users can select rules for various scenarios to reach maximum accuracy.
3. The Fusion of Thermal Imaging and Ai Technology
Makes the Alarm More Accurate Starview provides humanoid, vehicle detection and powerful behavior analyses (intrusion, single line crossing, double line crossing, loitering, wrong-way, enter area and leave area, people counting) for thermal cameras are based on deep learning algorithm, allowing Camera alarm accuracy and reduction of false alarms.

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