The Proof
Every number on this page comes from verified testing and real deployments — not projections. Every source is attributed. Every layer is identified.
Independent Lab Testing:
What Happens When AI Can't See
Dell AI Innovation Lab and NVIDIA Metropolis Lab tested standard AI analytics (Ipsotek VISuite) under simulated near-blackout conditions. The question: what happens to detection accuracy when the camera feed degrades? The answer changed the conversation.
Vehicle Detection — Near-Blackout Conditions
| Vehicle Class | Baseline (Ideal) | Degraded (No Restoration) | After ProHawk Restoration |
|---|---|---|---|
| Cars | 492 detected (100%) | 324 detected (65%) | 452 detected (91%) ↑ |
| BusesMost dramatic recovery | 2 detected (100%) | 0 detected (0%) | 4 detected (200%) ↑↑Exceeded original baseline |
| Trucks | 14 detected (100%) | 0 detected (0%) | 1 detected (7%) |
| Vans | 4 detected (100%) | 0 detected (0%) | 2 detected (50%) ↑ |
The Technology Behind Restoration —
In Plain Language
ProHawk AI is protected by four U.S. patents. Each solves a different visibility problem. Here's what they actually do — no technical jargon required.
Recovering What Fog Hides
Your camera recorded a foggy parking lot. The cars, people, and license plates are in there — the fog just scattered the light before it reached you. This patent reverses the scattering and recovers the detail the sensor actually captured.
Fixing Video Live — Not After the Fact
This isn't a batch process you run on yesterday's footage. It restores every frame as it streams — at 2 milliseconds per frame. The latency is imperceptible to the human eye. Your security team sees clean, restored video in real time.
Seeing Both Sides of the Loading Dock
Loading dock at noon: half in blinding sunlight, half in deep shadow. This technology balances both halves simultaneously. You see the person in the shadow AND the truck in the sunlight, in the same frame, at the same time.
Following Someone From Dark to Light
A camera at a building entrance sees bright sky and a dark doorway. Without this patent, you get one or the other. With it, you get both. A person walking from a dark hallway into sunlight stays visible the entire time — no blinding flash, no disappearing into shadow.
Real-World Deployments You Can Verify
Two deployments, two completely different conditions, same restoration technology. These are not demonstrations or marketing claims — both are publicly documented with on-record confirmation from the operators involved.
Restored Evidence in Active Criminal Investigations
The Office of Inspector General uses ProHawk AI to restore degraded dashcam, body camera, and surveillance footage in legal forensics. Two documented cases, two outcomes.
Use-of-Force Investigation
An officer's altercation with a suspect who died four days later. ProHawk restored dashcam and body camera footage to reveal hidden details and reconstruct the sequence of events.
AR-15 Shooting at Officer
A perpetrator fired three shots through an officer's windshield. ProHawk restored dashcam footage to identify distinguishing features and establish shot trajectory.
Restoration Through Subsea Turbidity, Live on Television
Season 10 premiere — the production team lowered an underwater camera 105 feet down a borehole into a flooded tunnel. The original footage was nearly opaque from sediment and darkness. ProHawk AI restored it to inspection-grade clarity.
The Conditions
Underwater void at 105ft depth, near-total darkness, dark turbid murky water, color distortion. Standard underwater camera, no specialized optics.
The Discovery
Restored footage revealed broken timbers, vertical wooden dowel fasteners, and a structural void — first-ever clear view of an underground structure in the show's history.
Results Across Verticals
Verified deployment data from six verticals where Partner One has documented results. The underlying restoration and analytics capabilities apply across every industry that operates cameras in degraded conditions.
Energy & Utilities
Security & Public Safety
Manufacturing
Healthcare
ProHawk restoration applies to surgical video clarity in degraded lighting, medical imaging enhancement, and patient monitoring environments where visual input quality affects diagnostic and operational reliability.
Deployment proofs in active development.
Transportation
Robotics & Automation
ProHawk's real-time restoration and high-speed processing apply to autonomous navigation and robotic vision systems where degraded visual input creates operational risk — dust, steam, low light, and rapidly changing conditions.
Deployment proofs in active development.
Two Problems. Two Solutions.
One Architecture.
Your cameras are sending degraded video to analytics that struggle with it. That's not one problem — it's two problems making each other worse.
The foggy feed causes your existing analytics to misfire. The misfiring analytics cause your team to stop trusting the system. And the moment your team stops trusting it, the entire investment becomes overhead.
Your existing analytics now receive clean, restored video. They perform measurably better — 40% fewer false positives. But if those analytics have weak detection models, you've improved the situation without fully solving it.
A world-class intelligence platform is now processing your feeds — dramatically better than most competitors. But even Vaidio can't detect what the camera literally cannot capture. On foggy mornings, it's still working with compromised input.
These are independent, verified results from different deployments. We don't combine them — because they each stand on their own. Partner One delivers both layers, because fixing only one still leaves the other problem in place.
When both layers are deployed, you've solved the input problem and the processing problem at the same time. Clean cameras feeding analytics smart enough to use them.
Where This Technology Began
The origins of ProHawk's restoration technology stem from work done for the Japanese nuclear power industry — environments where cameras operate in extreme radiation, heat, and contamination, and where visual clarity is not optional. That foundation gives ProHawk a unique understanding of real-world visual challenges that no competitor developed in a software lab can match.
See It Work on Your Cameras
You've seen what these layers do in deployment. Now find out what they do in your environment.
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