IDIS launches AI in the Box deep learning analytics to boost surveillance efficiency

IDIS has launched its AI in the Box (DV-2116), boosting the power of surveillance systems with “the most accurate deep learning analytics yet developed”. During independent tests, IDIS Deep Learning Analytics (IDLA) has achieved accuracy rates of 97%, a record performance further boosted by high-speed processing.

The DV-2116 makes deep learning analytics more affordable, enhancing security and Control Room efficiency. The plug-and-play IDLA-ready appliance comes embedded with an NVDIA GTX1060 GPU chipset allowing the analysis of up to 16 channels simultaneously.

End users benefit from robust and calibration-free object detection and classification (objects such as people, cars and bicycles), intrusion and loitering detection, powerful and intelligent search functions and tracking by colour, object and number.

The introduction of AI in the Box makes deep learning analytics easier to adopt through trouble-free plug-and-play installation via the IDIS Solutions Suite video management software. This allows installation without costly disruption. The 97% accuracy minimises false alarms, in turn improving detection and monitoring performance.

James Min, managing director of IDIS Europe, commented: “Our high accuracy analytics can process vast amounts of data without a break in a way that human operators cannot. This means that high-resolution video streams can be automatically monitored to spot suspicious behaviour or distinguish potential threats from everyday activity.”

IDIS’ Deep Learning Engine, which powers the new solution, can recognise potentially significant movements and the characteristics of people and vehicles, while ignoring activity that isn’t relevant. The technology can quickly check through hours of video to find specific individuals. It also becomes more accurate over time due to its self-learning characteristics.

Min concluded: “This is very exciting as it means that time-critical activities, such as investigating incidents, will become increasingly efficient as our analytics are embedded in operations.”

About the Author
Brian Sims BA (Hons) Hon FSyI, Editor, Risk UK (Pro-Activ Publications) Beginning his career in professional journalism at The Builder Group in March 1992, Brian was appointed Editor of Security Management Today in November 2000 having spent eight years in engineering journalism across two titles: Building Services Journal and Light & Lighting. In 2005, Brian received the BSIA Chairman’s Award for Promoting The Security Industry and, a year later, the Skills for Security Special Award for an Outstanding Contribution to the Security Business Sector. In 2008, Brian was The Security Institute’s nomination for the Association of Security Consultants’ highly prestigious Imbert Prize and, in 2013, was a nominated finalist for the Institute's George van Schalkwyk Award. An Honorary Fellow of The Security Institute, Brian serves as a Judge for the BSIA’s Security Personnel of the Year Awards and the Securitas Good Customer Award. Between 2008 and 2014, Brian pioneered the use of digital media across the security sector, including webinars and Audio Shows. Brian’s actively involved in 50-plus security groups on LinkedIn and hosts the popular Risk UK Twitter site. Brian is a frequent speaker on the conference circuit. He has organised and chaired conference programmes for both IFSEC International and ASIS International and has been published in the national media. Brian was appointed Editor of Risk UK at Pro-Activ Publications in July 2014 and as Editor of The Paper (Pro-Activ Publications' dedicated business newspaper for security professionals) in September 2015. Brian was appointed Editor of Risk Xtra at Pro-Activ Publications in May 2018.

Related Posts