Test In the Camo Lab
Kanati
Autumn Forest

CamoMatrix AI Comparison

Truetimber Kanati and Bassdash Autumn Forest are both mixed-scale patterns, so they behave similarly from a scale point of view. Truetimber Kanati balances micro and macro elements, while Bassdash Autumn Forest leans toward larger, macro-scale blocks, which shifts how each holds up in close cover versus more open sightlines. They are also similar in overall density, so neither one is dramatically busier or more open. Bassdash Autumn Forest carries a wider spread in scale elements, which can help it stay effective both up close and as animals get farther out.

Truetimber Kanati
Bassdash Autumn Forest
Scale Type ⓘ
mixed
mixed
Scale Bias ⓘ
balanced
leans_macro
Density ⓘ
balanced
balanced
Edge Style ⓘ
soft
—
Scale Index ⓘ
0.700
0.650
Density Index ⓘ
0.600
0.450
Scale Spread ⓘ
0.500
0.550
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AI Breakdown — Side-By-Side Analysis

Truetimber Kanati vs Bassdash Autumn Forest

Truetimber Kanati and Bassdash Autumn Forest have been analyzed using our CamoMatrix AI engine, which measures scale, density, and edge behavior directly from the flat pattern artwork. Both land in the mixed-scale category, meaning they balance fine texture with larger breakup blocks instead of living at one extreme. Density is similar, so neither pattern overwhelms the eye or leaves too much empty space. Truetimber Kanati's scale index trends a touch higher, making its breakup blocks slightly larger than those in Bassdash Autumn Forest. Truetimber Kanati runs a little denser on our readings, while Bassdash Autumn Forest leaves slightly more background showing through — which some hunters prefer in simpler, more open environments. Bassdash Autumn Forest also shows a higher spread index, suggesting it can maintain its breakup across a slightly broader range of shot distances. As always, these results come from flat pattern imagery. Real-world performance depends heavily on terrain, season, and how the garments fit and move.

This is a pattern-only comparison from flat artwork. Terrain, season, and real backgrounds will still push one or the other ahead in specific setups.

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CamoMatrix AI Classification Guide

Learn how the CamoMatrix AI evaluates camouflage patterns

Scale Type

Defines the dominant size of shapes in the pattern.

  • Micro — fine details for close-range concealment
  • Mixed — blend of micro + macro elements (versatile)
  • Macro — large, bold shapes built for distance

Scale Bias

Indicates which scale range the pattern leans toward overall.

  • Leans Micro — better in brush, timber, inside 40–60 yards
  • Balanced — performs similarly near and far
  • Leans Macro — stronger breakup in open terrain or longer shots

Density

How busy the pattern is with shapes and noise.

  • Sparse — more background shows through
  • Moderate — balanced texture
  • Dense — lots of detail packed tightly together

Edge Style

How hard or soft shape boundaries are.

  • Hard Edges — sharp multipoint outlines
  • Soft / Blended — smooth transitions (like spray or blur)
  • Mixed — both present

Numeric Metrics

  • Scale Index — 0.0 (micro) → 1.0 (macro)
  • Density Index — 0.0 (sparse) → 1.0 (dense)
  • Scale Spread — how widely the pattern spans micro → macro