Industries

Smart Building

A smart building is one that uses technology to make efficient and economical use of resources while also providing occupants with a safe and comfortable environment. Smart buildings may use a variety of existing technologies and are designed or retrofitted in such a way that future technological developments can be integrated. Some of the mechanisms and robotics that may be used in a smart building to control and optimize its performance include Internet of Things (IoT) sensors, building automation, artificial intelligence (AI), and augmented reality.

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 cro...

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 ...

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...

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...

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...

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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.