Optical Gas Imaging (OGI) is a non-contact, visual method used to detect and visualize gas leaks and emissions. It employs infrared (IR) cameras designed to sense specific wavelengths associated with gases, enabling the identification of leaks in various industrial applications.

OGI cameras are sensitive to specific infrared wavelengths that correspond to various gases, such as methane, propane, and volatile organic compounds (VOCs).

Advantages Over Traditional Methods:
  · Non-Contact: Allows for remote monitoring without the need for direct contact with the gas.
  · Real-Time Detection: Provides immediate visual feedback, enabling quick response to leaks.
  · Less Invasive: Reduces the need for physical sampling or other invasive methods.

OGI camera is often used in the oil and gas industry, chemical manufacturing, and environmental monitoring to ensure safety and compliance with regulations.
  · Leak Detection: Identifying leaks in pipelines, storage tanks, and processing equipment.
  · Environmental Compliance: Monitoring emissions to ensure compliance with environmental regulations.
  · Safety Inspections: Regular inspections in industrial settings to prevent hazardous situations.

· Multi-spots Temperature Measurement: display temperature at any spot

· Regional Analysis: display maximum, minimum and average temperature of full screen or selected area

· Hot Spot Tracking: automatically track the hottest and coldest spots on the full screen or within a selected area

· High Temperature Alarm: automatic alarm when temperature exceeds the set threshold

· Isotherm: highlight the temperature range with pseudo-color

NETD is the Noise Equivalent Temperature Difference, which is the temperature difference between the target and the background when the detector output signal-to-noise ratio is equal to 1. It is an indicator to measure the sensitivity of infrared detector. The smaller temperature difference between target and background is, the higher thermal sensitivity of the detector is required. NETD measures the minimum temperature difference that can be detected by the thermal imaging system. It is expressed in millikelvins (mK) or degrees Celsius (°C).

A lower NETD value means the infrared camera can detect smaller temperature differences, resulting in clearer and more detailed images. This is particularly important in applications like surveillance, building inspections, and medical diagnostics, where precision is crucial.

· All-weather Monitoring: ensure 24/7 surveillance and get clear image in total darkness

· Long Range Detection: detect heat source targets several kilometers or even hundreds of kilometers away

· Good Concealment: passively receive infrared rays radiated by the target, no need for supplementary light

· Identify Camouflage: accurately distinguish between humans or animals in complex environments through heat distribution and reduce false alarm rates

· Without Interference: with longer wavelength than that of visible light, targets can be seen clearly in harsh environments such as smoke, dust, rain, snow, glare, backlight and even total darkness

· Heat Detection: detect hidden fires in advance through abnormal heat, avoid fire hazards earlier than visible light pyrotechnic identification

· Temperature Measurement: long-distance, large-scale, non-contact, rapid-response temperature measurement expands the application of security in epidemic prevention and control

Field of view, also referred to as FOV. It is the open, observable area a person can see through their eyes or via an optical device, such as a camera. It is usually expressed in degrees and can be described in terms of horizontal, vertical, or diagonal angles.

There are common Field of View ranges:
   · Narrow FOV (e.g., 10-30 degrees): suitable for long-distance observations where detail and resolution are critical.
   · Wide FOV (e.g., 60-90 degrees): ideal for monitoring larger areas or providing situational awareness over a broader region.

For an infrared camera, FOV is the degree of visibility the thermal camera lens delivers to the sensor. It is the extent of the observable area that the camera can capture in a single image. It is typically expressed in degrees (°) and can be described in two ways:
   · Horizontal and Vertical FOV: This specifies the angle of view in the horizontal and vertical directions. For example, a camera might have a horizontal FOV of 60° and a vertical FOV of 45°.
   · Diagonal FOV: Some specifications provide a diagonal FOV, which represents the angle across the diagonal of the image frame.

And you can calculate it using the following formula:
   FOV (degrees) = 2 × arctan(d / (2 × f)) Where:
   d = diagonal size of the sensor (in mm)
   f = focal length of the lens (in mm)