Case study · Published 2025-08-01 · Updated 2026-07-16 · ~4 min read

Named Client · Swift Realeye AI

Sun Ocean Machinery Sites × Swift Realeye AI

Sites served by Sun Ocean Machinery Co., Ltd.—Airport 3RS, SKYCITY Car Park, I·PARK WtE, and Ma On Shan sewage upgrade—have large work fronts where patrols alone cannot cover safety compliance. With Swift Realeye AI, violation detection exceeds 97% accuracy; flame/smoking alerts average ~3 seconds; equipment limit breaches and scaffold risks are caught earlier.

“On major sites such as the Airport 3RS project, helmet and hazard alerts fire within seconds. Safety officers are no longer relying on patrols alone, and compliance records are far more complete.”

— Sun Ocean Machinery Co., Ltd. · Site Safety Team
97%+Violation detection accuracy
3sAvg. flame/smoke alert
40%Equipment incident risk cut
10minScaffold early warning

Challenge

Large infrastructure sites cannot cover safety compliance around the clock with manual patrols alone.

Solution

Deployed Swift Realeye AI with 100+ video analytics algorithms for helmets, hazard zones, crane torque, and scaffold movement.

Sites covered

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