Amped Five Forensic Software |link| Jun 2026

Amped's approach is "Explainable AI"—using neural networks to suggest starting points for deblurring but allowing the analyst to manually verify the math. Future updates are expected to include dedicated deepfake detection modules that analyze facial landmark movement and blinking patterns.

You isolate the exact frames where the incident occurs. Unlike screen capturing (which loses data), Amped Five extracts the uncompressed bitmaps directly from the video stream. amped five forensic software

Use these filters in sequence:

Contrary to what Hollywood shows (where you can "zoom in and enhance" a pixelated reflection), optical zoom has limits. However, Amped Five uses (like Bicubic and Lanczos) to upscale low-resolution faces or license plates. It mathematically estimates missing pixels based on surrounding data, generating a larger, viewable image that is often admissible in court. Unlike screen capturing (which loses data), Amped Five

You build your filter chain. A typical chain for a dark, shaky video might look like this: Source -> Stabilize -> Brightness/Contrast -> Noise Reduction -> Sharpening -> Output . every parameter setting

Amped Five generates a Forensic Report (PDF/HTML) that lists every filter used, every parameter setting, and the mathematical justification for the enhancement. This report is cross-exam-proof.

The software allows a side-by-side split-screen view of the "Original" vs. "Processed" footage. This is vital for court testimony, as the jury needs to see exactly what the algorithm changed.