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The remainder of the paper is organized as follows: Section 2 reviews related work; Section 3 details the optical and electronic design; Section 4 presents the depth‑encoding model; Section 5 describes the neural decoder and training protocol; Section 6 reports experimental results; Section 7 discusses limitations and future work; Section 8 concludes. PubMed Central (PMC) (

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Melarosa‑Net follows an paradigm with skip connections (U‑Net style). The encoder consists of four residual blocks (ResNet‑34 backbone, pretrained on ImageNet) reduced to 8‑bit weights. The decoder upsamples via bilinear interpolation and contains depth‑wise separable convolutions to keep the parameter count low (≈ 1.2 M). The final layer predicts a single‑channel depth map normalized to the 0.5‑10 m range.