|Welcome to I-Cube: South Africa's leading provider of License Plate Recognition; Facial Recognition & Image Analysis|
ID using Image Analysis by I-Cube
Automotive product measurement
Camera Selector Chart
ID / Verification
Measurement and Determination using Image Analysis by I-Cube
DEMOSREQUEST IA CD \ I-Cube Intro Brochure
Our Web site is packed with information on our product lines. We invite you to explore the site and download the technical documentation, news items, photos, description of sample installations, system simulations and recognition demos.
License Plate Recognition for a wide range of applications including Parking, Access Control, Logging all vehicles & alarm when Wanted Vehicles detected.
Complete solutions, software only, SDK or rentals!
How we test:
Noise testThe laws of physics dictate that it is impossible to digitally capture an image that is completely free of noise. Although, the larger the physical size of a sensor is (not the number of pixels), the less susceptible a sensor usually is to noise. Numerous other variables impact how noisy digitally captured footage can be, including a camcorder's optics and integrated post-processing capabilities.
To evaluate the amount of noise generated by a camcorder, we start by capturing footage of an X-Rite Munsell ColorChecker Chart target (formally known as the GretagMacbeth ColorChecker Chart) using daylight-balanced HMI lighting. The camcorder's white-balance setting is set to either daylight or automatic, depending on which one is more color-accurate. Then we extract still frames, and analyze the images using Imatest image-analysis software to measurably evaluate the generated quantity of color and luminance noise. The footage is captured at the lowest-available compression setting, and at the camera's highest native resolution.
Color reproduction ability testWhile color can be corrected via software after video is captured by a camcorder and copied over to a computer, it's usually best to start with captured footage that is as color-accurate as possible--especially for those instances when the footage will not be edited or might be burned directly to disc.
To evaluate how well a camcorder can reproduce accurate colors, we capture footage of the X-Rite Munsell ColorChecker Chart target using daylight-balanced HMI lighting. Footage is captured at the camcorder's daylight white-balance setting. We then extract still frames and analyze the images using the Imatest image-analysis software in order to measurably evaluate a camcorder's ability to reproduce colors correctly. The footage is captured at the lowest-available compression setting and at the camera's highest native resolution.
Sharpness testThe potential sharpness of an image is directly impacted by the resolution of the sensor that captured the image. However, several other variables impact the overall sharpness of a digitally captured image, especially the quality of a camcorder's optics and its integrated postprocessing capabilities.
To evaluate how well a camcorder can create sharp images, we capture footage of an ISO 12233 test target using daylight-balanced HMI lighting, with the camcorder set to automatic white balance. We then extract still frames and analyze the images using the Imatest image-analysis software to measurably evaluate a camera's capability when capturing sharp details. The footage is captured at the lowest-available compression setting, and at the camera's highest native resolution.
Tungsten lighting testsIn our camera lab, we shoot a fixed scene made up of objects with a wide range of colors, textures, and reflective properties. The video is shot under color-balanced (centered around 3,200K), tungsten studio lights. We use the camcorder's automatic exposure and set the focal length of the lens to a point in the middle of the zoom range for these tests. We set the camcorder to its highest-available quality setting, and test with three different white-balance settings:
In addition to the video created in our camera lab, we shoot video in both indoor and outdoor settings. We shoot various scenes in a variety of lighting situations, capturing footage that contains a diversity of colors, contrast, patterns, and light levels. We also shoot video that includes people with a variety of skin tones in order to evaluate how well a camcorder captures them.
We evaluate the quality of the video for sharpness, detail, proper exposure, accurate color reproduction and saturation, white-balance accuracy, dynamic range, and tonal separation. We also look for typical problems that arise with camcorder footage, including image noise, artifacts, and lens distortion. All of the footage is reviewed on a professional video monitor.
If the camcorder offers still-image capture to a flash memory card, we follow our standard procedures for testing digital still cameras and capture photos for evaluation in addition to the video.
Image-quality characteristicsHere are some examples of the image-quality characteristics we consider when evaluating a camcorder.
I-CUBE and PlanetCCTV announce a partnership whereby the I-CUBE Facial and LPR products will now be shipped PRE-installed on all PlanIT CCTV products