Eliminate Bottlenecks Through 24/7 Workflow Visualization

Gain continuous visibility into how people move through facilities. Reduce wasted travel, congestion, and layout-driven inefficiencies.

Facility Flow & Layout Insights

Path Efficiency

Layout changes are expensive to get wrong. Continuous measurement of route deviation and travel time across defined paths gives teams the objective evidence to make those decisions confidently — and to know whether changes are actually working after they're made.

Space Utilization

Underused space and overloaded areas often exist side by side without anyone realizing it. Tracking occupancy and activity patterns across zones over time gives teams the data to rebalance — and to make layout decisions that hold up across shifts and volume changes.

Intersection Analysis

Observe delays at key intersections where paths converge. Highlight congested areas and quantify their impact on throughput. By identifying bottlenecks, teams can target changes and layout improvements that improve flow and reduce compounding delays.

Built on Your Existing Infrastructure

Protex AI uses computer vision and video analysis to transform existing CCTV into continuous visibility across facility movement. Operations teams gain objective insight into flow, congestion, and layout performance without relying on manual studies or one-time analysis.

01

See how processes unfold in practice

Computer vision perceives process conditions and zone-level operational flow, giving teams a clear picture of how work sequences unfold across the facility, without relying on manual spot-checks.

02

Compare observed process patterns to expectations

See where process patterns drift from expected sequences and where operational design may need adjustment — with objective data across every shift.

03

Understand why process patterns shift

Video provides context when execution deviates, such as missing materials or sequencing gaps, helping teams fix root causes instead of guessing, backed by visual evidence.

04

Step in when process issues appear

Set thresholds to trigger notifications when process conditions fall outside expected operational ranges. Teams can respond quickly to make changes early and prevent small variances from turning into larger disruptions.

01

See how processes unfold in practice

Computer vision perceives process conditions and zone-level operational flow, giving teams a clear picture of how work sequences unfold across the facility, without relying on manual spot-checks.

02

Compare observed process patterns to expectations

See where process patterns drift from expected sequences and where operational design may need adjustment — with objective data across every shift.

03

Understand why process patterns shift

Video provides context when execution deviates, such as missing materials or sequencing gaps, helping teams fix root causes instead of guessing, backed by visual evidence.

04

Step in when process issues appear

Set thresholds to trigger notifications when process conditions fall outside expected operational ranges. Teams can respond quickly to make changes early and prevent small variances from turning into larger disruptions.

Proven Impact at Scale

84%
Reduction in targeted behaviors
10+
Hours of labor productivity recovered per day
200+
Hours of labor productivity recovered monthly
Bendix Commercial Vehicle Systems Turns Data Into Everyday Safety and Operational Wins with Protex AI

Explore More Operational Solutions

Uncover our operational solutions designed to enhance your proactive safety measures.

Watch Our 2-Minute Demo Video

Looking to learn more about revolutionizing how you and your team make proactive safety decisions that help contribute to a safer work environment?

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Enterprise-Ready From Day One

Protex AI is built to work within your existing infrastructure - secure, scalable, and ready to integrate from day one.

Ask The Expert

Here are some common questions our product experts have been asked by EHS professionals around the topic of Al safety. If you have any question in particular that you need answered please don't hesitate to contact us.

How does the AI distinguish between "normal" operational movement and "inefficient" paths?

The system benchmarks real-world movement against your intended operational layout. It measures route deviation and traverse time to identify repeated detours — giving you the evidence to determine whether the cause is a flawed layout or an SOP that has drifted from its original design.

Can we use this data to justify the ROI of a facility redesign or CAPEX project?

Yes. By quantifying total travel time lost to indirect routes and mapping which zones generate the most deviation, you can build an objective, data-backed business case for structural layout changes — the kind of evidence that moves a capital request forward.

How do AI-generated occupancy heatmaps help identify underutilized floor space?

Heatmaps surface how floor space is being used across zones and time periods. If high-value floor space shows consistently low activity during peak shifts, the system flags it as an opportunity for storage expansion, equipment repositioning, or workflow reconfiguration — turning underused square footage into throughput capacity.

Can we compare flow efficiency between shifts or seasonal volume peaks?

Yes. You can compare movement data from different time windows to see whether specific time periods or higher inbound volumes create a measurable breakdown in facility flow. This makes variance visible and actionable rather than anecdotal.

Does this require us to install new cameras or infrastructure on the floor?

No. The system connects directly to your existing CCTV infrastructure.