Feature: Machine vision


Figure 7. Overlapping noise fix


Figure 8. Stitched IR data giving a 210° FOV


Figure 9. Stitched IR and depth image with 278° FOV


by traditional key points matching algorithms. Tis approach needs very little computation, making it an ideal candidate for edge systems. Te integrity of the depth data is retained post-stitching since there is no image distortion. Tis solution further supports the modular implementation of the ADTF3175 sensors to obtain the desired FOV with minimal loss. Te FOV expansion is not confined to the horizontal dimension, and


the same technique can be used to expand the view vertically to obtain true spherical vision. Te solution runs on an ARM V8, a 6-core, edge CPU with 10fps for four sensors providing 275° FOV. Te frame rate goes up to 30fps when only two sensors are used. One of the key benefits of this approach is the massive computation


gain achieved — more than 3× gain in basic computation; see Table 1. Figure 8 and Figure 9 show some results obtained with this solution.


www.electronicsworld.co.uk July/August 2025 21


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