New product development in automobile industryMethod controls is in automotive product style and improvement. Despite the fact that correctly made fuel economy standards would not necessarily constitute a competitive disadvantage to U.S. automotive firms (see Chapter 9 ), new fuel economy requirements that are really pricey to implement or that tremendously distort the normal item cycle of the business would place an huge monetary burden on domestic automakers. Therefore, the impacts on the sector are central to the discussion of new fuel economy targets. This chapter explores those impacts.
I am largely involved in automotive supplier good quality process improvement. As a result my main concentrate is preventative upkeep and calibration of machines, tools, and dies. In this region, the key challenge is finances—most original gear manufacturers (OEMs) demand reductions in part piece value. This tends to make suppliers reluctant to invest heavily in state-of-the-art machinery, tooling and style. When they do not invest in or preserve the dies on a typical basis, we get difficulties in the assembly plant—such as body accuracy issues and fitment challenges.
Aptina has published a whitepaper on Clarity+ technology Clarity+ starts with the common 2×2 Bayer RGB color filter pattern frequently employed in image sensors all through the market, and then replaces all of the green colour filters with meticulously optimized clear filters. This pattern preserves the high-frequency spatial info of the Bayer pattern, eliminating the aliasing artifacts that are inevitably introduced when both green and clear filters are utilized in bigger kernel (4×4) patterns. The green colour is determined by way of the image processing algorithms that use subtractive and interpolation techniques. Specialized noise reduction is then applied, resulting in a 3dB improvement in low-light SNR, relative to that possible with the RGB Bayer pattern.