If preview window is not a usable video (for example, 100% gray image due to failed capture, or too dark), exit the test and verify the camera functionality with an independent camera application under test lighting conditions (for example, AMCap) before proceeding. Failure to detect ROI might be due to a poorly aimed camera or unusable video capture from the camera (for example, too dark). If the test cannot identify ROI markers, then the test cannot run properly. The test looks for Region of Interest (ROI) markers (black and white circles) at known locations on the test. Setup: test can't find Region of Interest (ROI)
#Camera temporal dark noise windows#
If the system has both front and back cameras, repeat steps 2-4 for the second camera.įor generic troubleshooting of HLK test failures, see Troubleshooting Windows HLK Test Failures.įor troubleshooting information, see Troubleshooting Device.Streaming Testing. An acceptable range is 18 to 22 and 72 to 88.Ĭonfirm the light level and exact distance from the camera to the target chart. In light setting mode, the test automatically dims the screen to allow accurate measurement of the light level.Īdjust the dimmer to get the required number of lux. The test prompts you to set the light level and test position: Position the DUT as shown in REF _Ref311027182 \h Figure 2.
Start the test by using the Windows HLK Studio Test Scheduler. The lighting that is used in this example is A19 LED-lighting at 20 and 80 lux on the test target. Two units Philips 424382 11-Watt A19 LED Light Bulb, DimmableĪn example DUT and lighting configuration is shown in REF _Ref311027182 \h Figure 2. Any type is acceptable as long as it can connect to the Insteon dimmer module. INSTEON Wireless Keypad RemoteLinc 2 (optional).ģ-to-1 extension cord. Any type is acceptable as long as it has two plugs so that you can control two lights simultaneously (with equal lighting), and the granularity of adjustment to achieve the target 80 & 20 lux (+/- 10%). Two light mounts that have reflectors for example, an Impact 5" Reflector Floodlight Kit. Any type is acceptable as long as they allow for the positioning that is described in this topic. This allows you to measure light levels at test time and to validate light levels by reading the display from captured images. The light meter sensor and display should both be mounted and in the field of view.
#Camera temporal dark noise pdf#
You can access and print this high resolution PDF test chart from: HCK Video Test Chart.Īfter you print the test chart, mount the color checker and the light meter. Video Test Chart), on matte paper by using a high quality inkjet (for example, an HP Z2100). Printout of the test chart (that is shown in REF _Ref311027164 \h Figure 1. You should calibrate the lux meter anually. National Institute of Standards and Technology (NIST) calibrated lux meter (for example, INS DX-100). The following additional test equipment is required to run the video tests: Step-by-step instructions for setting up the test:
Tests in this feature area might have additional documentation, including prerequisites, setup, and troubleshooting information, that can be found in the following topic(s):īefore you run the test, complete the test setup as described in the test requirements: Webcam Testing Prerequisites. The tests estimate key video quality metrics in the following areas:
Images of a specified poster, which includes both color and image clarity features, are captured under controlled lighting conditions. The Windows HLK tests measure video streams and the quality of captured images from the device under test (DUT) during streaming video capture at various resolutions. This test is implemented in the Windows Hardware Lab Kit (Windows HLK). This test does not require a dedicated light room it can be performed in a standard office environment by using the described test setup. This test verifies that the system is able to deliver a high quality real-time capture experience. The Camera Sensor Quality test is an optional test for systems that include one or more built in cameras (for example: phones, laptops, tablets, all-in-one personal computers).