Environment Intelligence – Deep Lighting Addon

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Publisher

PointStrike Digital

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Overview

Deep Lighting expands Environment Intelligence with detailed analysis of realtime light cost, shadow pressure, overlap zones, and lighting configuration risks in large production scenes.

Lighting is one of the fastest ways to destroy performance. This module helps you prevent that before profiling even begins.

Requires Environment Intelligence – Core.

What This Module Adds

Realtime Light Pressure Analysis

  • Detects excessive realtime light counts
  • Identifies scenes exceeding safe lighting density
  • Flags high-impact light configurations

Realtime lighting scales quickly in cost. This module highlights when your scene crosses safe thresholds.

Shadow Cost Evaluation

  • Detects lights with shadows enabled
  • Flags high shadow resolution settings
  • Identifies large shadow-casting bounds
  • Surfaces potential shadow overdraw risks

Shadows are often more expensive than the light itself. This module exposes that pressure clearly.

Overlapping Realtime Light Zones

  • Approximates light overlap using renderer bounds
  • Identifies areas where multiple realtime lights stack
  • Flags potential additive lighting cost spikes

Light overlap multiplies shading cost. This module helps identify stacking zones early.

Mixed vs Baked Configuration Risks

  • Surfaces unnecessary realtime usage
  • Flags lighting setups that could be baked
  • Identifies inconsistent lighting modes

Proper light mode selection can dramatically reduce cost. This module highlights inefficiencies.

Lighting Load Scoring

  • Integrates lighting diagnostics into Scene Health Score
  • Categorizes risks by severity
  • Prioritizes highest-impact lighting issues

You get structured, ranked feedback instead of raw numbers.

Designed For

  • Open world and biome-heavy projects
  • HDRP and URP scenes with dynamic lighting
  • Indoor and outdoor mixed-light setups
  • Console and mid-tier hardware targets
  • Projects approaching optimization phase
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