Case studies

Proof you can see

Selected cases cover chemical fire monitoring, fisheries thermal protection, and automotive inspection outcomes.

Fire monitoringWearable thermalInspection AI

Chemical plant fire-monitoring optimization in Maoming

Huiyan VisionFire

Deck thermal protection upgrade for an offshore fisheries company

Wearable thermal products

Supporting proof

Custom AI vision

Cases are organized around explainable outcomes

Pain point

Solution

Outcome

Representative projects

Each case is organized by pain point, solution, and measurable outcome

Instead of logo walls, the page leads with the outcome metrics buyers actually care about.

Huiyan VisionFire3%

Pain point: A previous AI system produced nearly 30% false alarms and frequent shutdown checks.

Solution: Deployed VisionFire with dedicated negative training for steam and welding glare.

Outcome: Project review records show scene tuning reduced false alarms below 3% and produced safety-review materials.

Full customer name is withheld by request; verification materials can be provided offline.

Wearable thermal products76%

Pain point: Wet cold decks caused a high frost-risk rate and traditional warm gear performed poorly in moisture.

Solution: Provided a 42°C heated insole and heated vest bundle for deck and shift use.

Outcome: Project feedback records show frost-related incidents dropped by 76%, with improved comfort during prolonged wet-cold shifts.

Full customer name is withheld by request; scenario proof can be provided offline.

Custom AI vision300%

Pain point: Manual inspection was slow, inconsistent, and missed defects.

Solution: Delivered a custom defect-detection model with quarterly iteration against new process changes.

Outcome: Pilot review records show inspection efficiency improved by about 300%, with missed defects down to 0.5%.

Full customer name is withheld by request; implementation proof can be provided offline.