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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.

Technical partners:

Integration partners:

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.

Unusual Behaviour

Threat Ranking
and Extraction (TREX)

DeFence

Left Object
Detection

Video Tripwire

Detecting Unusual Behaviour

This is the most important iSentry algorithm. Detection of Unusual Behaviour is driven by an unsupervised learning, unbiased AI platform. AI learning is based on pixel analysis. The system ‘learns’ how objects normally move in a scene; after establishing a norm, the system creates an alert on any deviations. The amount of video to be analysed by a monitoring control centre operator is reduced by up to 98%. A single Unusual Behaviour license often replaces 5-10 licenses based on Rules Based algorithms.

Related applications:

Traffic violations, directional getaway violation, abnormal crowd congestion, aggressive bahaviour, object throwing, loitering, trip & fall, smoke and fire detection, graffiti painting, machine, objects malfunction, workers abnormal behaviour, tampering, etc.

Threat Ranking and Extraction (TREX)

The iSentry Platform is exceptional at target acquisition thanks to its ability to learn the environment covered by cameras. iSentry accurately extracts true target information even under the most challenging of environmental conditions. It can distinguish between moving foliage and true targets so that it delivers minimal false negatives. Additionally, its proprietary neural networks perform industry leading visual or thermal camera object classification.

The platform provides expert configuration ability that eliminates environmental noise. Its multi-scene analysis detects small targets at great distance as well as accurate human tracking and classification at short distance, simultaneously on the same view. iSentry is also capable of running on PTZ cameras, providing autonomous scene stability tools and alert suppression during camera movement from a pre-set to the next position.

Related applications:

Perimeter and area surveillance, intrusion protection, border control etc.

DeFence

Defence is an advanced iSentry trigger, which can significantly enhance property protection by continuously monitoring perimeters, detecting fence trespassing, and identifying objects being thrown over barriers. The iSentry can also recognise and analyse unusual patterns, such as objects being thrown over fences, allowing for rapid response and intervention. By integrating with existing security infrastructure, these AI solutions provide a comprehensive and proactive approach to safeguarding properties, ensuring a high level of security and peace of mind.

Related applications:

Perimeter and area surveillance, intrusion protection, border control, prison, industrial application, critical infrastructure etc.

Left or Missing Object Detection

Left object and missing object detection are crucial capabilities in modern surveillance systems, enhancing security and operational efficiency across various sectors. Left object detection involves identifying items that have been abandoned in public or sensitive areas, such as airports, train stations, or city streets. These objects can pose significant security threats, such as unattended bags that might contain explosives, and require immediate investigation by security personnel. AI systems use advanced image processing and machine learning algorithms to continuously monitor video feeds, recognising when an object has been left behind for a certain period. Conversely, missing object detection focuses on identifying when an item has been removed from its designated location eg. to prevent theft or misplacement. By automatically alerting staff to these occurrences, iSentry helps ensure a prompt response to potential security breaches or operational disruptions, thereby safeguarding assets and maintaining safety.

Related applications:

retail environments, warehouses, museums, public spaces, stadiums, airports, railway station, churches etc.

Advanced Directional Video Tripwire

Advanced Directional Video Tripwire analytics is a sophisticated algorithm used in iSentry to monitor and control access across defined areas by setting up virtual lines or boundaries within video feeds. Unlike traditional tripwire systems, which only detect crossing events, directional video tripwires can differentiate between movements in specified directions, enabling more precise monitoring and alerting. For instance, in a high-security facility, the system can be configured to trigger alerts only when someone enters a restricted area from an unauthorised direction, while ignoring exits or authorised entries. This capability reduces false alarms and enhances situational awareness by focusing on genuine security breaches. By employing machine learning and computer vision technologies, advanced directional video tripwire analytics can adapt to various environmental conditions and integrate with other security measures, providing a comprehensive and proactive approach to perimeter protection and access control.

Related applications:

airports, industrial sites, urban areas, and secure government facilities, where maintaining control over directional movement is critical to ensuring safety and security.

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.

Centralised Architecture

Distributed Architecture

Complete Edge Architecture

Partial Edge Architecture

Centralised Architecture

iSentry’s Centralised Architecture has the advantage of low complexity taking advantage of economies of scale. In the case of a network containing many cameras, it could require extra bandwidth to ensure centralisation of all video in a single central location.

Distributed Architecture

Complete Edge Architecture

Partial Edge Architecture

Integration options

The iSentry core system is also available in an API form, which can be integrated into VMS and PSIM platforms.

INTEGRATED SYSTEMS

The system is responsible for the display and distribution of alerts (with associated data) originating from the iSentry systems

3rd party VMS, PSIM or similar platforms

Fully enriched alert data, including video frames and decisions where applicable.

INTEGRATED SYSTEMS

iSentry Docker Solution
1. Decoding video
2. Processing video with core Al and producing alerts
3. Enriched alerts using Deep Learning Al
4. Decision making with the Rules Engine

Let’s talk about your security

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