Gas and Oil company from Czech Republic builds LNG stations
Automated PPE inspections with Computer Vision
Problem
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.
Solution
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.
Results
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.
Semmering HirschenkogelBergbahnen GmbH a ski and recreation resort in Austria
FFp2 Mask Detection with Computer Vision
Problem
The global pandemic
The Semmering Ski Resort faced the challenge of adhering to government regulations during the pandemic while remaining operational. Requiring all guests to wear FFP2 masks meant hiring additional security personnel to monitor and enforce compliance, which increased costs and lowered profits.
Solution
FFp2 face mask detection
The FFP2 mask detection solution was seamlessly integrated into the resort's existing camera system, reducing the need for investment in additional equipment or personnel. When the system detected a guest without a mask, it triggered a sound notification, prompting the individual to put on a mask.
Results
Automated FFp2 inspection system
By implementing an automated FFP2 mask detection solution, the Semmering Ski Resort successfully adhered to government regulations while minimizing additional staffing costs. This innovative approach to mask enforcement not only enhanced the resort's ability to maintain a safe environment for all, but also demonstrated the potential for technology to address challenges in a rapidly changing world.
SECURITON Servis, spol. s r.o., a security management and remote surveillance company
Remote Video Surveillance with Computer Vision
PROBLEM
The false alarms challenge
Despite constant advances in technology, standard motion alarm systems can be a victim of their own success in that they often generate unwanted false alarms as a consequence of an inability to accurately distinguish between intruders and other sources of movement.
SOLUTION
AI intrusion detection
Deep learning video analytics of DEKI software by default ignores video noise, waving trees, moving clouds and animals, all of which might normally be the cause of false alarms when pixel based motion detection technology or motion sensors are being used to detect activity.
RESULTS
Modern remote video surveillance
By the end of the testing, our DEKI SAFE successfully detected intrusion events as a simple solution of giving existing IP cameras object recognition capabilities with the use of artificial intelligence, while saving the costs of purchase and manual installation of motion sensor systems.
News
In countries like the USA and the UK, surveillance cameras, known as CCTV, have become an integral part of the street scene, while in Austria, the use of such cameras is more limited.
