Prototype 1: Audio Interpretation
Our first iteration tapped into the 3.5mm audio port of existing detectors. We used a custom mobile interface to "listen" to the multi-tonal responses. Remarkably, the AI successfully distinguished between gold, silver, and aluminum—and could even differentiate a modern day quarter from a rusted bottlecap, a notoriously difficult challenge for standard systems.
The Bottleneck
While successful, we hit a ceiling. The detector's internal computer was heavily filtering and smoothing the signal before it reached the audio port, stripping away the raw spectral data needed for perfect AI discrimination.
Version 2: Direct-to-Coil Architecture
We completely pivoted to a "Brain Bypass" strategy. Deep Sight AI replaces the metal detector's current computer entirely, connecting directly to the search coil's pins to process the raw, unfiltered analog signal.
Users can unbolt the old "brain" from any standard detector pole and attach the Deep Sight module directly to the coil, instantly upgrading the hardware to Edge AI.
We replaced the dated LCD screen with a custom mobile app. As users dig, they can upload their findings to the community database. This trains the AI on local ground conditions, meaning the detector is constantly learning and improving via Over-The-Air updates.
