OD Security offers full contraband detection capabilities in Paris

Paris, France

Dutch company, OD Security, has been at Milipol in Paris this week exhibiting its complete contraband detection capability including Soter RS full body scanner, Theia automatic threat recognition software and Central Database.

Soter RS full body scanner, combines ultra-low radiation with maximum visibility, promising an extraordinarily safe and efficient solution. The Soter is able to literally find anything that is either concealed inside or concealed on a person. It is designed to detect anything within just 10 seconds, even non-metallic objects hidden under clothes, in natural cavities or within the human body. Previously these non-detectable items such as narcotics, explosives, precious stones, plastic weapons, or other contraband, could only be detected by using highly intrusive total body searches.

Identifying anomalies in scan images

Theia uses complex Artificial Intelligence (AI) Software, to automatically highlight and identifies anomalies in scan images. Theia is driven by machine learning algorithms. It has been trained on large collections of “negative” body scan images, i.e., images that are free of any contraband. These scans have taught Theia what a negative scan should look like, and it has learnt therefore to recognise anything that should not be part of a full body scan and highlight the anomaly to the operator. The symbiotic relationship between the operators and Theia reduces operator error and improves overall safety within our prisons and custodial estates.

Central Database

After the Soter and Theia have made a scan, the Central Database captures all the data, (be that an inmate, visitor, lawyer, or staff themselves), it will synchronise with previous data from previous scans, including those from other linked units, or establishments. This information is then accessible from all facilities that have a Soter RS Body Scanner in operation, in different locations, allowing data records to be shared from facility to facility. It allows staff in different locations to see the images taken in one establishment and compare it to another taken in a different location in a different time period.


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