Real-time PPE Inspection at Unmanned LNG Stations

Gas and Oil company from Czech Republic builds LNG stations

Automated PPE inspections with Computer Vision

Neglection of safety rules

A Czech Gas and Oil company is building unmanned LNG stations. Due to the inherent risks of LNG, using proper PPE like Cryogenic Gloves is essential. However, many drivers weren't using them.

Reviewing security footage was tedious and on-site checks costly, so they needed a cost-effective way to detect non-compliant drivers.

Automated inspections with Computer Vision

DEKI suggested using the station's existing security cameras (K1, K2, & K3) to detect Cryogenic Gloves a Face Shields via RTSP video streams. These streams were processed by detection models on an edge device for a proof of concept.

Automated PPE inspection system

The system achieved 83% PPE detection and 82% license plate accuracy, exceeding the 80% benchmark. It offers 24/7 monitoring, enabling corrective actions for safety breaches. After the PoC's success, the client has decided to continue enhancing the system to provide proactive notifications to the drivers as well.

The Problem:


A Gas and Oil company from the Czech Republic is in the process of building several unmanned LNG stations. Since the tanking process for LNG is fundamentally unsafe, adherence to safety protocols, primarily wearing appropriate Personal Protective Equipment (PPE) like Cryogenic Gloves and face shields, is paramount. After inaugurating their first station, the company discovered a worrisome trend: many drivers were not using the appropriate PPE.

With the manual review of video recordings from the security cameras present being time-consuming and hiring personnel for on-site checks financially untenable, the company sought an innovative, cost-effective solution to detect those drivers that do not use appropriate PPE while at the station, endangering themselves and those around them.




Automate PPE inspections at the LNG stations to ensure drivers' safety without the need for onsite personnel or tedious video reviews. Leverage the current infrastructure at the station to cut costs of equipment necessary for such a solution. Send all detected events into a portal where they can be viewed, reviewed, and exported for later use.


Solution by DEKI:


DEKI proposed a system that leverages the existing security cameras at the station. Three cameras were already in place: one monitoring the station's front (K1) and two overseeing the terminal where tanking occurred (K2 & K3). We could connect with the video streams from the cameras locally via RTSP and process them with our detection models deployed on a small edge device. The primary focus for this Proof of Concept (PoC) was the detection of Cryogenic Gloves and Face Shields.


Solution Workflow:


The collector, built to client specifications and accessible via a web portal, aggregates all events. It logs event specifics, timestamps, license plate data, and snapshots for potential manual review. This entire process is designed to be cost-effective, leveraging existing infrastructure, and works without the need of internet connectivity to ensure clients data security.


Challenges & Solutions:


Results and Next Steps:


The system demonstrated an 83% true positive rate for PPE detection and 82% accuracy for license plate identification, surpassing the client's 80% benchmark. This real-time 24/7 monitoring system serves as evidence if drivers repeatedly breach safety rules, facilitating corrective actions through their respective companies.


Encouraged by the PoC's success, the client decided to continue collaboration with DEKI. The roadmap includes system enhancements, improving detection accuracy, and integrating proactive audio warnings for drivers previously detected without PPE. Following these upgrades, the solution is slated for deployment at other existing and future LNG stations.


“Thank you for the excellent cooperation with DEKI. DEKI, though compact, is a modern, active, flexible, and highly efficient contractor for automation of PPE inspections with Computer Vision. I look forward to continuing in the same manner on other projects.”


Michna David

Senior WHS Specialist