Create a fully editable Lucidchart flowchart (not a rendered image) illustrating a Neuromorphic Traffic Analysis Pipeline. Use only native Lucidchart objects, including rounded rectangles, editable connectors, and built-in Material/Fluent icons. Do not use screenshots, raster images, flattened graphics, grouped objects, or embedded SVGs. Every shape, icon, arrow, and text element must remain individually editable. Use a clean IEEE/Microsoft Azure architecture style with a white background, dark blue headers, white card bodies, light grey section headers, thin grey arrows, equal card sizes, consistent spacing, modern typography, and professional alignment. Arrange the modules horizontally from left to right: Event Acquisition: Event Input (camera icon) Preprocessing: Activity Noise Filter (filter), Rolling Event Buffer (database), Event Buffer Reslicer (clock) Motion Detection: Motion Grid (grid), Connected Components (cluster), Sparse Optical Flow (motion arrows) Tracking: Track-aware Split (split arrows), Greedy Association (chain links), Alpha-Beta Tracking (target), Trajectory Management (route/path) Analysis: Virtual Counting Line (barrier) Output: Visualization & Export (dashboard) Each card should contain the step number, title, one icon, and 2–3 concise bullet points describing its function. Add a bottom information bar labelled Current Processing Chain listing the complete processing sequence. Use dark blue headers (#1F4E79), a green output module (#43A047), light grey section headers (#ECEFF1), dark grey icons, black text, and medium grey connectors. The final result should be publication-quality and suitable for a Master's thesis or IEEE paper.

The image shows a flowchart diagram depicting the current processing chain viprossostog qaloa, which is a process of creating a new product.