PrevenX

Note #07

PrevenX Engineer Team — Tue, 24 Mar 2026 00:01:01 +0000

Worker behaviour patterns often repeat across sites. Identifying recurring behavioural signals can improve predictive safety models.

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System Update 0.1.4

PrevenX Engineer Team — Fri, 20 Mar 2026 02:44:49 +0000

Improved alert filtering to reduce unnecessary system noise

Early versions of the system prioritised detection sensitivity. This update refines alert thresholds to better distinguish between low-risk observations and events that require attention.

• Refined alert triggering thresholds

• Improved detection confidence scoring

• Reduced unnecessary safety alerts

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Note #06

PrevenX Engineer Team — Fri, 20 Mar 2026 02:40:30 +0000

Environmental conditions such as wind and vibration can influence sensor stability on temporary construction structures.

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Note #05

PrevenX Engineer Team — Thu, 19 Mar 2026 01:38:51 +0000

Edge computing significantly reduces response time compared to cloud-only processing, enabling faster on-site risk alerts.

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System Update 0.1.3

PrevenX Engineer Team — Wed, 18 Mar 2026 00:31:45 +0000

Improved worker detection stability in high-activity scenes

Active construction areas can involve multiple workers moving simultaneously. This update improves detection stability and reduces duplicate detections during complex movement patterns.

• Improved frame-to-frame tracking consistency

• Reduced duplicate detection events

• Enhanced worker boundary detection

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Note #04

PrevenX Engineer Team — Wed, 18 Mar 2026 00:28:59 +0000

Camera placement strongly influences detection reliability. Low-angle positioning may create blind spots around scaffolding and elevated platforms.

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System Update 0.1.2

PrevenX Engineer Team — Mon, 16 Mar 2026 03:14:14 +0000

Improved PPE detection performance in dusty environments

Dust and particulate matter are common challenges on construction sites. This update improves model robustness under reduced visibility conditions, helping maintain detection reliability during active work phases.

• Expanded dataset with real construction site footage

• Improved low-visibility detection robustness

• Reduced reflective surface false positives

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Note #03

PrevenX Engineer Team — Mon, 16 Mar 2026 03:10:47 +0000

Many safety risks emerge gradually rather than instantly. Detecting early signals is often more valuable than detecting the final violation.

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System Update 0.1.1

PrevenX Engineer Team — Fri, 13 Mar 2026 01:38:21 +0000

Improved helmet detection under partially obstructed conditions

Construction environments often involve overlapping workers and temporary visual obstruction. This update improves the model’s ability to correctly detect helmets when workers are partially blocked by equipment or other personnel.

• Improved worker segmentation performance

• Reduced missed detections in multi-person scenes

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System Update 0.1.0

PrevenX Engineer Team — Fri, 13 Mar 2026 01:24:06 +0000

Initial PPE detection capability deployed for construction environments

This update introduces the first operational version of the PPE detection system designed for dynamic construction sites. The system establishes the baseline capability for identifying essential protective equipment in real time.

• Baseline AI model trained for helmet and vest recognition

• Real-time object detection pipeline implemented

• Initial safety event logging framework established

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