How to choose colour binocular vs RGB IR binocular camera module
There are significant differences between colour binocular camera modules and RGB+IR binocular camera modules in terms of technical principles and application scenarios, which are mainly reflected in the imaging methods, applicable environments and functional focus. The following are the main application differences between the two:
1. Difference in imaging principle and function
Colour binocular camera module
Adopts two RGB cameras and calculates the depth information through binocular stereo vision algorithm, which is mainly used in 3D reconstruction, visual navigation, obstacle avoidance and other scenes.
Dependent on ambient light, performs well when there is sufficient light, but performance decreases in low-light or all-black environments.
Typical applications: mobile robots (e.g., service robots, unmanned vehicles), AR/VR, environment perception in autonomous driving.
RGB+IR Binocular Camera Module
consists of an RGB camera and an infrared (IR) camera with both visible and IR imaging capabilities.
The IR camera can work in low-light or no-light environments, and is suitable for scenes such as live body detection, night surveillance, and face recognition and anti-counterfeiting.
Since IR light is not interfered by visible light, it can effectively resist photo, screen and other fake face attacks, and is suitable for security, financial payments and other areas with high security needs
3. Typical application scenarios
Colour binocular camera module
Mobile robot (e.g. MYNT EYE S Color for SLAM, obstacle avoidance).
Automatic driving (environment perception, lane detection).
AR/VR (spatial positioning, gesture interaction).
RGB+IR binocular camera module
Financial payment/access control system (live body detection, prevent photo/video attack).
Intelligent security (night monitoring, infrared thermal imaging).
Vehicle monitoring (driver status monitoring, e.g. fatigue detection).
4. Technology Development Trends
Colour binocular modules are developing towards higher resolution and lower latency, combined with IMU (Inertial Measurement Unit) to improve SLAM accuracy.
RGB+IR module tends to be multi-spectrum fusion (e.g., RGB+IR+ToF), to improve the ability of all-weather environment adaptation.
Colour binocular modules are more suitable for scenes requiring high-precision 3D environment sensing (e.g. robotics, autonomous driving), while RGB+IR binocular modules are more suitable for security authentication, low-light monitoring, and other scenes requiring high requirements for live body detection and anti-jamming ability.
Austar has colour binoculars, such as QQSJ-8992 (8 million 4K colour binoculars); QQSJ-1313 (1080P colour binoculars with frame synchronization); QQSJ-9037 (720P colour binoculars with global exposure with frame synchronization), etc. RGB+IR binoculars, such as QQSJ-9015/QQSJ-9047/QCSJ-9090 ( RGB+IR binoculars, such as QQSJ-9015/QQSJ-9047/QQSJ-9090 (1080P), etc. If you need more detailed technical parameters (such as resolution, frame rate, synchronisation accuracy), please feel free to contact us to purchase samples for testing!
There are significant differences between colour binocular camera modules and RGB+IR binocular camera modules in terms of technical principles and application scenarios, which are mainly reflected in the imaging methods, applicable environments and functional focus. The following are the main application differences between the two:
1. Difference in imaging principle and function
Colour binocular camera module
Adopts two RGB cameras and calculates the depth information through binocular stereo vision algorithm, which is mainly used in 3D reconstruction, visual navigation, obstacle avoidance and other scenes.
Dependent on ambient light, performs well when there is sufficient light, but performance decreases in low-light or all-black environments.
Typical applications: mobile robots (e.g., service robots, unmanned vehicles), AR/VR, environment perception in autonomous driving.
RGB+IR Binocular Camera Module
consists of an RGB camera and an infrared (IR) camera with both visible and IR imaging capabilities.
The IR camera can work in low-light or no-light environments, and is suitable for scenes such as live body detection, night surveillance, and face recognition and anti-counterfeiting.
Since IR light is not interfered by visible light, it can effectively resist photo, screen and other fake face attacks, and is suitable for security, financial payments and other areas with high security needs
3. Typical application scenarios
Colour binocular camera module
Mobile robot (e.g. MYNT EYE S Color for SLAM, obstacle avoidance).
Automatic driving (environment perception, lane detection).
AR/VR (spatial positioning, gesture interaction).
RGB+IR binocular camera module
Financial payment/access control system (live body detection, prevent photo/video attack).
Intelligent security (night monitoring, infrared thermal imaging).
Vehicle monitoring (driver status monitoring, e.g. fatigue detection).
4. Technology Development Trends
Colour binocular modules are developing towards higher resolution and lower latency, combined with IMU (Inertial Measurement Unit) to improve SLAM accuracy.
RGB+IR module tends to be multi-spectrum fusion (e.g., RGB+IR+ToF), to improve the ability of all-weather environment adaptation.
Colour binocular modules are more suitable for scenes requiring high-precision 3D environment sensing (e.g. robotics, autonomous driving), while RGB+IR binocular modules are more suitable for security authentication, low-light monitoring, and other scenes requiring high requirements for live body detection and anti-jamming ability.
Austar has colour binoculars, such as QQSJ-8992 (8 million 4K colour binoculars); QQSJ-1313 (1080P colour binoculars with frame synchronization); QQSJ-9037 (720P colour binoculars with global exposure with frame synchronization), etc. RGB+IR binoculars, such as QQSJ-9015/QQSJ-9047/QCSJ-9090 ( RGB+IR binoculars, such as QQSJ-9015/QQSJ-9047/QQSJ-9090 (1080P), etc. If you need more detailed technical parameters (such as resolution, frame rate, synchronisation accuracy), please feel free to contact us to purchase samples for testing!