Industries

Smart Parking

Smart parking is a technology that uses video analytics and artificial intelligence to identify license plate numbers, vehicle presence, and the entry and exit timings of all parked vehicles to aid in the autonomous management of a car park.

ANPR (Automatic Number Plate Recognition)

Automatic Number Plate Recognition (ANPR or LPR for short) is a technology that utilises optical character recognition and AI to identify vehicle registration plates. This can...

Automatic Vehicle Identification (AVI)

Automatic Vehicle Identification (AVI) offers the opportunity to identify vehicles in various traffic situations in a secure, reliable and cost-efficient way. Different applicat...

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Smart City

A smart city usually refers to an urban area with advanced technological implementations. The technology can come in many forms, but the common idea of a smart city is to make use of various electronic installations fitted with voice activation mechanisms and sensors to collect data from its surroundings, including that of its inhabitants, and the environment. The data collected can be related to traffic conditions, waste management, power plants, education, healthcare, human traffic, and population density, among a great many other statistics. The information collected from these sensors can then analysed, discerning patterns within the data, and using these inferences to develop an understanding so as to be able to manage assets, resources, and services and improve operation efficiency across the different sectors from which the data was collected from.

Crowd Statistics

Crowd Statistics involve using sensors and cameras to capture data of the flow of human traffic in certain areas. Certain relevant data is collected, such as movement of the crowd, number of people, among other forms of data.

Facial Recognition & Detection

Facial recognition and detection, commonly used in security systems to allow access, uses a camera system to capture the facial features of an individual, comparing them with a preset database of faces, pinpointing similar facial features and subsequently allowing or denying access.

Anomaly Detection

Anomaly detection is a data mining step that finds data points, events, and/or observations that differ from the expected behavior of a dataset. Outlier occurrences or anomalous data might signal significant problems, such as a technical glitch, or prospective opportunities, such as a shift in consumer behavior.