CHAPTER 4: IDEA GENERATION & EVALUATION
In order to measure pitch accurately we came up with 5 ideas. In the end we analyzed all those ideas in terms of following criteria’s
1. Ease of use
2. cost
3. Accuracy
4. Ease of fabrication.
4.1 Vernier Calipers method
The Digital Caliper (sometimes incorrectly called the Digital Vernier Caliper) is a precision instrument that can be used to measure internal and external distances extremely accurately. The example shown below is a digital caliper as the distances/measurements, are read from a LCD display. The most important parts have been labeled.
Earlier versions of this type of measuring instrument had to be read by looking carefully at the imperial or metric scale and there was a need for very …show more content…
So for a decimal measuring device each mark on the vernier is spaced nine tenths of those on the main scale. If you put the two scales together with zero points aligned, the first mark on the vernier scale is one tenth short of the first main scale mark, the second two tenths short, and so on up to the ninth mark—which is misaligned by nine tenths. Only when a full ten marks are counted is there alignment, because the tenth mark is ten tenths—a whole main scale unit short, and therefore aligns with the ninth mark on the main scale. Vernier is pretty user friendly.
4.1.2 Cost
A Digital vernier calipers cost around 15 ~ 20 SGD, which is very much affordable price.
4.1.3 Accuracy
The Vernier caliper is an extremely precise measuring instrument; the reading error is 1/20 mm = 0.05 mm. Close the jaws lightly on the object to be measured. If you are measuring something with a round cross section, make sure that the axis of the object is perpendicular to the caliper. The vernier caliper can read up to 0.01cm.
4.1.4 Ease of Fabrication There are so many types of vernier calipers available in the market. No hardware needed to be …show more content…
A 1200dpi scanner will provide us 0.02 resolutions. By using flatbed scanner required resolution can be achieved.
4.2.4 Ease of fabrication
Flatbed scanner can bought along with deck from shop. OCR software can be installed in the workstation so there is not much hardware to be fabricated.
4.3 Image processing method.
Image Processing Toolbox in MATLAB provides a comprehensive set of reference-standard algorithms, and apps for image processing, analysis, visualization, and algorithm development. You can perform image analysis, image segmentation, image enhancement, noise reduction, geometric transformations, and image registration. Many toolbox functions support multi-core processors, GPUs, and C-code generation.
Image Processing Toolbox supports a diverse set of image types, including high dynamic range, giga pixel resolution, embedded ICC profile, and tomographic. Visualization functions and apps let you explore images and videos, examine a region of pixels, adjust color and contrast, create contours or histograms, and manipulate regions (ROIs). The toolbox supports workflows for processing, displaying, and navigating large images.
Key features
Image analysis, including segmentation, morphology, statistics, and
In order to measure pitch accurately we came up with 5 ideas. In the end we analyzed all those ideas in terms of following criteria’s
1. Ease of use
2. cost
3. Accuracy
4. Ease of fabrication.
4.1 Vernier Calipers method
The Digital Caliper (sometimes incorrectly called the Digital Vernier Caliper) is a precision instrument that can be used to measure internal and external distances extremely accurately. The example shown below is a digital caliper as the distances/measurements, are read from a LCD display. The most important parts have been labeled.
Earlier versions of this type of measuring instrument had to be read by looking carefully at the imperial or metric scale and there was a need for very …show more content…
So for a decimal measuring device each mark on the vernier is spaced nine tenths of those on the main scale. If you put the two scales together with zero points aligned, the first mark on the vernier scale is one tenth short of the first main scale mark, the second two tenths short, and so on up to the ninth mark—which is misaligned by nine tenths. Only when a full ten marks are counted is there alignment, because the tenth mark is ten tenths—a whole main scale unit short, and therefore aligns with the ninth mark on the main scale. Vernier is pretty user friendly.
4.1.2 Cost
A Digital vernier calipers cost around 15 ~ 20 SGD, which is very much affordable price.
4.1.3 Accuracy
The Vernier caliper is an extremely precise measuring instrument; the reading error is 1/20 mm = 0.05 mm. Close the jaws lightly on the object to be measured. If you are measuring something with a round cross section, make sure that the axis of the object is perpendicular to the caliper. The vernier caliper can read up to 0.01cm.
4.1.4 Ease of Fabrication There are so many types of vernier calipers available in the market. No hardware needed to be …show more content…
A 1200dpi scanner will provide us 0.02 resolutions. By using flatbed scanner required resolution can be achieved.
4.2.4 Ease of fabrication
Flatbed scanner can bought along with deck from shop. OCR software can be installed in the workstation so there is not much hardware to be fabricated.
4.3 Image processing method.
Image Processing Toolbox in MATLAB provides a comprehensive set of reference-standard algorithms, and apps for image processing, analysis, visualization, and algorithm development. You can perform image analysis, image segmentation, image enhancement, noise reduction, geometric transformations, and image registration. Many toolbox functions support multi-core processors, GPUs, and C-code generation.
Image Processing Toolbox supports a diverse set of image types, including high dynamic range, giga pixel resolution, embedded ICC profile, and tomographic. Visualization functions and apps let you explore images and videos, examine a region of pixels, adjust color and contrast, create contours or histograms, and manipulate regions (ROIs). The toolbox supports workflows for processing, displaying, and navigating large images.
Key features
Image analysis, including segmentation, morphology, statistics, and