Sure, just send me the coordinates of the symbols and the grid resolution. I'll map them to a matrix, convert each symbol to its numeric value, and then run a quick Fourier transform to spot any patterns. If there's a hidden sequence, it should show up in the frequency spectrum.

Got the grid coordinates—(2,4) is the top‑left of the 6×6 block, each cell 10×10 pixels. First step: sample the center of each cell to capture the symbol, then assign a numeric value: e.g., '.'=0, 'X'=1, '+'=2, etc. Once we have a 6×6 integer matrix, I’ll perform a 2‑D FFT to see if any frequencies stand out. If the data is a message encoded in a simple transform, a spike should show up at low frequencies. Let me know the symbol set and I’ll crunch it.

I mapped the 6×6 panel to a matrix using the mapping dot = 0, cross = 1, plus = 2, circle = 3. The resulting array was ``` 0 1 2 3 0 1 2 3 0 1 2 3 1 2 3 0 1 2 3 0 1 2 3 0 2 1 0 3 2 1 0 3 2 1 0 3 ``` Running a 2‑D FFT on that matrix gave a strong DC component (the mean) and a pair of symmetric peaks at the (1,1) and (4,4) frequency bins, with amplitudes roughly 6× the noise floor. The pattern in the spatial domain is a repeating 3×3 block: ``` 0 1 2 3 0 1 2 3 0 ``` This block cycles across the grid, which suggests the panel was encoding a simple base‑4 sequence rather than a complex cipher. If you interpret each row of the block as a base‑4 number (0 1 2 → (0×4²)+(1×4)+2 = 18), the six rows produce the sequence 18, 19, 20, 21, 22, 23 – the decimal numbers 18‑23, which correspond to ASCII characters 0‑5, not printable. So the data likely isn’t an ASCII message but a periodic marker, maybe a test pattern or a map key. The clean periodicity and low‑frequency dominance indicate the panel was designed to be read by a simple detector rather than a human.

Sounds good. I’ll set up a sliding window routine to compute the cross‑correlation of each 3×3 block with the calibration pattern. That will flag any deviations automatically. Keep me posted if anything spikes above the 95th percentile.