Details Eakins imx290
1080P FULL HD 60FPS high speed camera Eakins imx290
UI design menu, easy to control by mouse
Autofocus, when observation Objects of different heights(MAX 10CM), you do not need adjust the lens’s Working distance
When you adjust the lens’s Magnification, you do not need adjust the lens’s Working distance
When you adjust the lens’s Working distance(MAX 10CM), you do not need adjust the lens’s Magnification, The camera can Autofocus
- Before connecting power supply, please connect mouse to the Eakins imx290 camera.
- Under AF mode, the program will automatically adjust the focus to provide a clear image; Switching to “Click F” mode, it will lock the focus after the system performed autofocus on the required image; Even if the image is blurry, with focus being locked, it will not trigger autofocus again; When “MF” (Manual Focus) is set, the MF can be adjusted .
- If autofocus cannot operate under special circumstances (e.g. Smooth reflect surface). Move the focus frame to objects with details, change to “Click F” mode to perform one-off auto focus operation, or switch to “MF” mode for manual focus operation.
- It needs to wait for a period of time When “Save Image” is selected, icons appear in the center of the screen and are automatically saved to U disk in jpg format.
- When pressing “Video” button to start recording, •Rec will appear at the lower right hand corner of the camera screen. By pressing “Video” button again, video recording will be stopped and automatically saved to TF card with H.264 format
- When saving the image / video, the folder and files will be named according to date and time respectively.
- When you need to correct the rear focus of the lens, select the “motor in the middle” and then adjust the mechanical rear focus to make the image clear.
Digital industrial cameras Sensor performance review
Eakins imx290 EMVA data overview. This document gives an overview on Baumer cameras of the LX,
CX and EX series. Their sensor properties are measured according to the EMVA Standard 1288.
The properties quantum efficiency, dark noise, saturation capacity, absolute sensitivity threshold, and dynamic range are organized in charts, with better performance first. The intention is to help to choose the right camera for the application.
The presented values are single sample data measured with the ACC3 (AEON® Camera Calibrator Tool) at room temperature. A different camera of the same type would have similar – but not
identical – values.
Each Eakins imx290 is measured in the production process as part of our quality assurance system.
The combination of different camera and sensor parameters allow selection of the right camera for a specific application. If, for example, the application requires very low light, the sensor has to be very sensitive.
This means, that the absolute sensitivity threshold of the suitable sensor should be very low. The main performance characteristics are described in the following.
An imaging sensor converts photons into electrons. The conversion ratio, the quantum efficiency (QE), depends on the wavelength. The more photons are converted into electrons, the more sensitive to light the sensor is and the more information can be obtained from the image.
For monochrome cameras we give values measured at 536 nm (green). For color cameras 3 values for red, green, and blue are depicted. The values measured in a camera can differ from image
sensor supplier data, as a camera might use a cover glass or filters.
A camera converts the electrons (e–) from the image sensor into digital numbers (DN). This conversion is described by the overall system gain K, measured in digital number (DN) per electron (e–). K electrons are required to increase the grey level by 1 DN. The K-Factor depends on the camera design. A slightly increased K-Factor may improve linearity at the cost of saturation capacity
Even if the sensor is not illuminated each pixel shows a (dark) signal. With increasing exposure time and temperature electrons are generated in each pixel without light. This dark signal varies,
which is called dark noise (measured in electrons).
A lower dark noise is preferred for most applications. The dark noise together with the photon shot noise and the quantization noise describe the noise of the camera.
Think of a pixel as a well and of the full-well capacity as the maximum number of electrons that can be stored in this well. This corresponds to the maximum number of photons which
would generate such electrons (saturation irradiance).
The saturation capacity actually used for the characterization of a camera is measured differently and directly from camera images. The value is typically smaller than the full-well capacity.
This difference might cause discussion if comparing imaging sensor data and camera data. A high saturation capacity allows for longer exposure times.
If a pixel is over-exposed it is set to maximum DN and it does not contain useful information.
The signal-to-noise ratio (SNR) is the ratio between the grey value (corrected for the dark value) and the signal noise. It is often measured in dB. SNR depends mainly on K and dark noise.
SNR increases with the number of photons. The maximum SNR (SNRmax) is reached for the saturation
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