2DNeuralVision has reached a key milestone: the  WP2 Specification & Validation Plan is now complete. This document consolidates the requirements and performance targets that will guide the project’s wide spectrum image sensor and optical neural network (ONN) developments – both at single element and architecture level – providing a common baseline for upcoming design, prototyping, and test activities.

Why this milestone matters

2DNeuralVision is developing the enabling photonic and electronic components for a low power computer vision system that performs reliably in adverse weather and lowlight conditions, an ambition made possible by graphene and transition metal dichalcogenide (TMDC) 2D materials that can deliver functionality beyond traditional silicon approaches. A coherent, consortium wide specification is critical to keep objectives, interfaces and performance targets aligned as we move into fabrication and validation.

What WP2 actually delivers

WP2 collects, structures and keeps current the specifications for the project’s image sensors and ONN. By design, this is a living specification: it will be updated after the first production runs, so lessons from early prototypes become part of the official requirements set and validation logic. This approach reduces risk, speeds convergence, and avoids divergence between device level achievements and system level needs.

This ensures that specifications match what the hardware can deliver and what the application requires.

A shared foundation for the road ahead

This specification and validation plan gives partners a single source of truth about needed parameters and how the technology will be verified. It converts high-level goals – any weather, any light low power computer vision – into a coherent, testable plan that guides decisions, simplifies coordination, and accelerates learning across iterations. As such, it is both an outcome and a promise: an outcome of careful cross partner work, and a promise that the specification will evolve with the evidence we generate together. This iterative process keeps the project efficient, evidence driven, and aligned with market and regulatory expectations.