Knowledge Hub

Digital signage is a form of electronic signage, often times displays, to advertise, inform or entertain. Video-Analytics can be used to measure the effectiveness of digital signage.

Digital transformation refers to the profound and comprehensive integration of digital technologies into all aspects of an organization, resulting in fundamental changes to how it operates and delivers value.

A digital twin is a digital model of a physical object, process or system which is used to represent it's state during the lifetime. Different from pure simulation a digital twin is updated with information.

Dock appointment scheduling is a logistics process that optimizes the arrival and departure of trucks at loading docks so as to enhance the efficiency of warehouses, distribution centers, and shipping companies.

A dome camera is a security camera with the shape of a hemisphere.

A door camera, also known as a doorbell camera or video doorbell, is a security device that is typically installed near the entrance of a home or building, usually on or near the front door.

A Door Counter is a device installed inside a door to count the people walking in and out. Door counters can be realized using different technologies such as light beams, infrared, stereo-cameras, WiFi, Bluetooth or security cameras.

Dwell time is a term commonly used in the field of retail and transportation which refers to the duration of time an individual spends in a particular location or area. 

Dynamic traffic control is an advanced system that uses real-time data and adaptive technologies to manage and optimize the flow of vehicles on road networks.

EHS is an acronym of Environment, Health and Safety. EHS often refers to the management of these three key areas within an organization to ensure compliance with regulations, reduce risks, and improve overall performance.

EHSQ is an abbreviation for Environment, Health, Safety, and Quality. EHSQ often refers to the management of these four key areas within an organization to ensure compliance with regulations, reduce risks, and improve overall performance.

Estimated In-Block Time (EIBT) is the estimated time that an aircraft will arrive in-blocks. (Equivalent to Airline/Handler ETA – Estimated Time of Arrival).

Estimated Landing Time (ELDT) is the estimated time that an aircraft will touchdown on the runway. (Equivalent to ATC ETA – Estimated Time of Arrival = landing)

EN 50155 is a norm specifying requirements for electronic equipment in rolling-stock and railway applications. EN 50155 covers requirements for temperature, humidity, shock, vibration, operating voltage and electromagnetic compatibility.

EN 50518 is a European Standard that specifies the requirements for the design, installation, commissioning, and maintenance of alarm transmission systems used for the transmission of alarms from security systems to alarm receiving centers (ARCs).

EN 62676 is a European Standard that specifies the requirements for video surveillance systems for use in security applications

EN45545 is a norm for fire protection in railway and rolling stock applications.

Estimated Off Block Time (EOBT) is the estimated time that an aircraft will start movement associated with departure.

Estimated Take Off Time (ETOT) is the estimated take off time taking into account the EOBT plus EXOT.

Estimated Turn-round Time (ETTT) is the time estimated by the AO/GH on the day of operation to turn-round a flight taking into account the operational constraints.

Emergency Vehicle Preemption (EVP) or Emergency Vehicle Priority interrupts the normal timing of traffic lights to give approaching emergency vehicles the green light to pass through intersections to get to emergencies safely and quickly.

Estimated Taxi-In Time (EXIT) is the estimated taxi time between landing and in-block.

Estimated Taxi-Out Time (EXOT) is the estimated taxi time between off-block and take off. EXOT includes any delay buffer time at the holding point or remote de-icing prior to take off.

Edge AI is a concept of deploying AI functionalities to local edge devices. Opposed to run AI workloads centrally in the cloud, a decentralized edge computing approach to AI enables lower latencies and reduces bandwidth usage.

Edge AI Video Analytics is a concept of deploying AI video analytics functionalities to local edge devices.