Against Late Fall Hardwoods, Emerge 2.0 scores 43/100 (), while Late scores 31/100 ().
Based on color alignment, breakup scale, and texture density, the AI sees an approximate 12-point lean toward Emerge 2.0 in this particular environment.
URSI Gear Emerge 2.0 and Cordia Late are both mixed-scale patterns, so they behave similarly from a scale point of view. URSI Gear Emerge 2.0 leans toward larger, macro-scale blocks, while Cordia Late balances micro and macro elements, 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. URSI Gear Emerge 2.0 holds a slightly broader scale spread, giving it a bit more range in tight brush and mid-distance openings.
URSI Gear Emerge 2.0 vs Cordia Late
URSI Gear Emerge 2.0 and Cordia Late 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. Edge work is alike as well — both mixes both hard and soft edges, which affects how smoothly (or abruptly) each pattern merges with real brush, trunks, and rocks. Cordia Late's numeric scale index runs slightly higher, nudging it a bit more toward macro breakup, while URSI Gear Emerge 2.0 stays finer on average. Cordia Late lands slightly higher on the density index, adding a bit more visual texture. That can help in chaotic or brushy terrain where extra breakup is useful. URSI Gear Emerge 2.0 carries more spread in our readings, which can make it more forgiving when moving between close-cover stands and semi-open edges. 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.
Learn how the CamoMatrix AI evaluates camouflage patterns
Defines the dominant size of shapes in the pattern.
Indicates which scale range the pattern leans toward overall.
How busy the pattern is with shapes and noise.
How hard or soft shape boundaries are.