Afra Ankita
Class 625
EV3 Test 3
The threshold for white was any intensity above 95%. The threshold for black was any intensity below 6%. This is because the first white surface that was tested for its reflected light intensity turned out to be 95%. The second test for white was 100%, the third was 97%. All these tests were made by using “Port View” on the robot.“Port View” can be found by going to “Utilities” on the robot’s screen. Then going over to the port that the color sensor is connected to, which in this case was port 3. Then the robot was set on an object so the color sensor was directly over it. Then black surfaces were tested. The first test was a 3%. The second test on black was 2%. The last was a bit higher but still very low at 6%. Thus the threshold for white was any intensity above 95%, according to all tests done so far. The threshold for black was any intensity below 6%, according to the tests done so far. …show more content…
The threshold for black, in all conditions tested, is any intensity below 6%. By using “Port View” finding the intensity for any color, especially in a certain lighting condition, is very simple. Just putting the robot above a certain surface so the color sensor can detect the color will give a live reading, visible on the robot. With the lights turned off this time the first test for white got an intensity of 83%. The second test was at 62% and the last test read 55%. The percentage decreased greatly from the tests with the lights on (above). The first test for black surfaces with the lights turned off was 5%. The second read 6% and the third was 4%. The tests for black with the lights off were relatively similar to the tests with the lights on. The threshold for white, in all conditions tested, is an intensity above 55%. The threshold for black, in all conditions tested, was an intensity below
Class 625
EV3 Test 3
The threshold for white was any intensity above 95%. The threshold for black was any intensity below 6%. This is because the first white surface that was tested for its reflected light intensity turned out to be 95%. The second test for white was 100%, the third was 97%. All these tests were made by using “Port View” on the robot.“Port View” can be found by going to “Utilities” on the robot’s screen. Then going over to the port that the color sensor is connected to, which in this case was port 3. Then the robot was set on an object so the color sensor was directly over it. Then black surfaces were tested. The first test was a 3%. The second test on black was 2%. The last was a bit higher but still very low at 6%. Thus the threshold for white was any intensity above 95%, according to all tests done so far. The threshold for black was any intensity below 6%, according to the tests done so far. …show more content…
The threshold for black, in all conditions tested, is any intensity below 6%. By using “Port View” finding the intensity for any color, especially in a certain lighting condition, is very simple. Just putting the robot above a certain surface so the color sensor can detect the color will give a live reading, visible on the robot. With the lights turned off this time the first test for white got an intensity of 83%. The second test was at 62% and the last test read 55%. The percentage decreased greatly from the tests with the lights on (above). The first test for black surfaces with the lights turned off was 5%. The second read 6% and the third was 4%. The tests for black with the lights off were relatively similar to the tests with the lights on. The threshold for white, in all conditions tested, is an intensity above 55%. The threshold for black, in all conditions tested, was an intensity below