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Anomaly Detection
The problem of distinguishing abnormal appearances or behaviors of an object or data that fall outside the usual examples from normal ones is called anomaly detection. Since the success of anomaly detection performed by humans can be significantly affected by factors such as fatigue, attention, and competence, machine learning-based anomaly detection methods have become increasingly important in the industry.
Mask and Social Distance Control
We create instant alerts when social distancing and mask rules are not followed within the boundaries of the fuel station. We report the types and numbers of violations, where the violations occur, and whether the violations are committed by customers or personnel, and create heat maps.
Tanker Unloading Process Control
There are precautions that must be taken and strictly followed during the tanker unloading process at fuel stations. We detect situations where these precautions are not followed.
Fire Equipment Detection
Fires are among the most undesirable incidents at fuel stations. It is crucial to have fire equipment in the required locations and in sufficient quantities in case of such an incident. Our system, which queries the locations and quantities of fire equipment, detects undesirable situations.
Smoking Detection
We detect individuals smoking in areas where smoking is dangerous, creating instant alerts. We report the number of violations and the areas where the violations occurred, and create heat maps.
Mobile Phone Usage Detection
We detect individuals using mobile phones in areas where mobile phone usage is dangerous, creating instant alerts. We report the number of violations and the areas where the violations occurred, and create heat maps.
PPE Detection
The use of personal protective equipment such as helmets and vests reduces the risk of workplace accidents. With PPE detection, we prevent potential accidents.
Hand Detection in Hazardous Areas
In machines where limb loss can occur, such as presses, our 'hand presence control algorithm' reduces the risk of accidents.
Unauthorized Parking Detection
We create instant alerts when vehicles park in areas that pose a security risk or cause various procedural delays.
Unauthorized Access Detection
We create instant alerts for unauthorized access to areas where only authorized personnel are allowed to enter.
Tanker Loading Process Monitoring
We scan whether procedures are followed during tanker loading, and if there is a security violation, we create an instant notification.
Detection of Customers Unable to Purchase Due to Queue
We count customers who enter the market queue throughout the day but leave without making a purchase and present this as a report to you.
Shelf Stock Monitoring
We scan your shelves at regular intervals and notify you if there are any empty shelves.
Blind Spot Detection
Serious accidents can occur in factories where forklifts are used, especially in areas with blind spots. These accidents usually occur between forklifts and people or between forklifts themselves.
Customer Density Analysis
We count the vehicles entering the fuel station and the customers making purchases from the market, and create smart reports and heat maps.
Pedestrian Crossing Control and Warning System
It is a system that controls traffic at intersections where trucks, heavy machinery, and forklifts cross pedestrian crossings within your facility. When trucks and pedestrians need to use the intersection at the same time, it aims to prevent potential accidents by providing visual warnings to truck drivers and pedestrians.
License Plate Recognition System
Points where speed limits are violated were identified in the facility. Control was provided in both directions with two different CCTV cameras. The AI-powered system detected the average speeds of vehicles passing through during the designated working hours. The system sent an instant email to the managers with the date/time of the violation, the speed of the vehicle, and video and photo images if the speed limit set by the customer was exceeded.
Speed Monitoring System
Our system monitors the speed of vehicles in the Çolakoğlu Metallurgy facility and stores speed limit violations in the database linked to the license plate. It sends notifications via email to the responsible person at the time of detection.