iSentry AI
Empowering human security control room operators with meaningful real-time alerts.
iSentry is a full spectrum AI Analysis platform for real-time monitoring of video surveillance imagery, focused on dealing with a wide range of complex, live video environments.
Our unsupervised, self-learning networks extract relevant data from imagery through behavioural anomaly detection (Unusual Behaviour) in fluid, busy environments, or advanced motion analysis (TREX) in more static surroundings where intrusion detection is required.
How it works?


1. DECODING AND ANALYSIS
iSentry efficiently decodes multiple video streams in real time which are then analysed by one or more of the analytics based on Artificial Intelligence, resulting in an “alert”, which will then start the iSentry process.

2. DATA ENRICHMENT
A certain number of detected frames, extracted from the alert video, are analysed by a GPU-based Deep Learning server. This process maximises processing efficiency and gives the system a much greater understanding of the alert.

3. AUTOMATION
With the greater understanding gained from step 2, the system will automatically dismiss many alerts.

4. LIVE ALERTS
Alerts that are not automatically elevated to alarm in step 3 are presented to the operator as a list of current alerts each containing classified images and a +/- 5-10 second video clip. The operator then decides whether an alert is important (escalating to alarm) or not, thus eliminating most false positives.

5. ALARMS AND ESCALATIONS
Once an alarm is generated either automatically by step 3 or by the human in step 4 the iSentry process is complete. All data associated with the alarm including video, classifications, metadata, and operator input, is included with the alarm to be processed.









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Core capabilities
iSentry has been designed to provide extremely fast and efficient video analysis through automation.
Key enhancements allow the use of Open VINO for integrated Deep Learning, as well as hardware acceleration, and suitable HD graphics or dedicated GPU decoding hardware to supplement CPU processing. This results in the ability to manage hundreds of video analytics channels on a single workstation or enterprise server that delivers quicker response times and reduced anomalies.
Reliable Information – Data Enrichment
Applying more than a dozen Deep Learning neural networks, iSentry can enrich video analysis with detailed information on alerts generated by the underlying core analytics. The Deep Learning engine recognises multiple classes of objects, even with difficult camera angles and over large distances. Current networks are constantly improved, new specialised networks and targets are developed such as fire detection, compliance detection of facemasks or personal protective equipment and human posture analysis.












Virtual Operation
– Automation
The iSentry logic engine plays the role of a video surveillance operator and as such can decide for itself whether an alert should be identified as an alarm or be ignored. This decision is based on factors such as the number and combination of object types that trigger the alert, the time of day and object size, or even the likelihood of accurate classification.
Additional Business Intelligence (BI) reports complement real-time analysis with KPIs for managerial purposes and monitoring trends.
Flexible Architecture
iSentry is designed to work with different infrastructure environments, maximising the value of existing hardware investments and scaling flexibly and efficiently as possible, keeping costs to a minimum without losing performance.
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Let’s talk about your security
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