Parakh
परखdiscernment — Field-Adaptive Threat Recognition
What if you could tell a friend from an enemy in the dark — in one second, with no phone signal at all?
Out in the field you often have to decide who is who in moments — and there are no signal bars to call for help.
The situation
A patrol on a hill at last light
A small team on a hill sees something move in the trees as it gets dark. There is no signal to phone anyone. Their tablet quietly puts a box around each shape and says what it is — friend, enemy, or not sure — so they decide calmly instead of guessing.
How it plays out
Step by step
- 01
You see movement
A camera, a scope or a small drone notices shapes at the edge of the trees.
- 02
The tablet names them
Right there on the device — nothing sent away — it labels each one: our vehicle, an enemy drone, an unknown person.
- 03
It adjusts to where you are
New place or new enemy gear? It teaches itself again in seconds. No waiting for an update from headquarters.
- 04
You act, not guess
The team sees friend, foe and unknown clearly and reacts. The signal was never needed.
The system itself
Under the bonnet
On-device recognition that runs on a handheld, a vehicle computer or a UAV with no datacentre behind it. When the theatre changes — new terrain, new adversary, new kit — it re-tunes itself in the field in seconds instead of waiting weeks for a cloud retrain.
What it means for you
The bottom line
- ▸Works even when the signal is jammed
- ▸Runs on an ordinary tablet — no special computer
- ▸Adjusts to any place, on its own
- ▸Always shows why it made each call
A different use case?
This is one capability; the engine under it is general. If your problem looks different — in any industry, not only defence — we build the tool for it: the same on-device, training-free, auditable RSN approach, scoped to your domain and proven in a bounded pilot. Tell us what you need →