Extract real value from your surveillance with our AI modules featuring advanced analytics. Detect threats or uncover operational insights tailored to your needs. Specialised AI transforms footage into actionable intelligence for security and business performance.
Watch how it works
This module uses AI and computer vision to track cafe and restaurant table occupancy rates and turnover in real time. It detects when tables become occupied or vacant and provides data on average turnover rates. This gives managers valuable insights into customer demand and allows them to optimise seating configurations and staffing to provide better service.
Diner Demographics uses AI facial analysis to gather accurate data on customer demographics, including age, gender, sentiment, and more. This data helps marketing teams understand their customers and create targeted campaigns to attract specific demographic groups. It also assists with the customisation of menus and services.
Cleanliness Check uses AI cameras to monitor table cleaning frequency and quality. It ensures tables are properly sanitised between guests and alerts staff if anomalies are detected. This results in higher health standards and improved customer perceptions of cleanliness and service quality.
The Plate Checker module offers cafes and restaurants a way to guarantee every plate matches the ideal presentation and portion size through AI-powered comparison with a reference dish from the database. By alerting staff to any inconsistencies versus menu references before service, clients can increase plating quality and consistency, reduce costly errors and waste from reworking incorrect plates, better manage food costs through accurate portions, and improve customer satisfaction by meeting expectations set by menu examples. Overall, Plate Checker provides real-time feedback to help restaurant clients achieve higher and more consistent plating standards, lower costs, and happier customers.
Attendance Tracker uses facial recognition to identify students entering classrooms. Daily attendance reports are generated automatically to save administrative time while improving accuracy over manual methods. This provides valuable insights into absenteeism patterns to guide interventions when needed.
Campus Security AI employs advanced computer vision techniques to identify threats or criminal activity on school grounds. Suspicious individuals, dangerous objects, vandalism, trespassing, and more are detected and alerts sent to security staff for rapid response. This enhances safety and security across campus.
Lecture Engagement analyses student reactions and behaviours during classes using facial emotion recognition and engagement metrics. Instructors are provided with real-time feedback to adapt teaching methods and improve engagement. This results in better student focus, comprehension, and retention.
Test Proctoring uses AI to monitor students during exams for any unauthorised behaviours such as chatting, cheating, looking at other screens, using phones etc. Alerts are sent to staff to discretely intervene, maintaining test integrity and fairness.
Perimeter Watch uses AI cameras and sensors around school boundaries to detect and alert security personnel about intruders, animals, fence damage, suspicious vehicles, and other anomalies. This prevents unauthorised entry.
Using advanced deep learning algorithms, Weapon Detection recognises firearms and knives concealed in bags, clothing, lockers, or other hiding spots. Staff are immediately alerted to facilitate intervention and reduce risk.
Leveraging AI sound recognition, Disturbance Detector identifies aggressive voices, shouts, breaking glass, gunshots, explosions, and other concerning noises. Alerts help pinpoint the location of disturbances.
Demographic Tracker uses AI video analytics to anonymously track branch visitor traffic patterns across age, gender, dwell times, frequency, and other demographic factors. Rich contextual data is aggregated to provide deep insights into customer behaviours and needs at neighbourhood, city, regional, and national levels.
Banks use these trends to tailor branch operating hours, marketing approaches, contact centre staffing, financial services, branch locations, and offerings to better serve diverse customer segments. Demographic Tracker also helps banks optimise operations to align with their target audience, saving costs and enhancing customer experiences.
ATM Guard uses a sophisticated AI camera network to monitor activity around exterior and vestibule ATMs. Advanced analytics detect loitering, vandalism, unauthorised devices attached to machines, shoulder surfing over customers, and other suspicious behaviours.
Branch Crowd Control employs advanced senso analytics to monitor, analyse, and forecast occupancy levels across all branch locations in real-time. Data insights enable optimised staff planning and scheduling during peak periods when long queues are more likely. When high congestion is predicted, Customer Support can automatically trigger appointment bookings and queue number distribution to minimise wait times.
Understanding and predicting crowding patterns also allows appropriately sized branches in a given area, reducing real estate costs. Finally, aggregate data informs remote workforce management and centralised service support.
Employee Productivity leverages analytics to track staff time spent with customers, in meetings/training, collaborating, or idle. Advanced analytics generate insights into workflow optimisation, skill development, coaching opportunities, and potential process bottlenecks. Managers have the visibility to adjust schedules, rebalance workloads, revise workflows, and inform targeted training to maximise productivity.
Data-driven insights also optimise incentive programmes and staffing levels based on traffic patterns. By continually improving employee efficiency and experience, banks enhance internal operations and customer service.
Service Scheduler integrates license plate recognition with appointment booking systems to log actual customer arrival times versus scheduled appointments. Advanced analytics identify patterns causing delays such as bottleneck stations or redundant vehicle movements causing backups. Data insights optimise appointment calendars to match demonstrated service pace and technician capacity.
Real-time alerts also notify managers if appointments are significantly lagging so immediate shop flow adjustments can be made to get back on track. By optimising schedules matched to actual performance, service centres improve customer satisfaction through reduced wait times and enhanced service turnaround.
Technician Efficiency leverages cameras and analytics to anonymously track individual workflow rates, vehicle downtime, collaborations between techs, adherence to standards, and behaviours such as phone use. Data reveals inefficiencies, unbalanced workloads, knowledge gaps, and process bottlenecks. With these insights, managers can implement targeted training, adjust team structures, recognise top performers, and continuously streamline processes.
Increased wrench time and properly levelled work translates directly into higher customer satisfaction and profitability. Technician Efficiency provides the visibility to turn average teams into peak performers.
Wandering Worker applies geospatial analytics to identify inefficient technician movements and time wasted walking around facilities. By linking staff location data to site maps, excessive travel between vehicles, desks, and parts counters is revealed.
Motion sensors also determine periods of inactivity. With visibility into unproductive time, service managers can reconfigure shop layouts to minimise technician transit times. Improved workflows and reduced distractions translate directly into increased wrench time and customer capacity. Wandering Worker helps optimise tech time and movements.
Tire Change Tracker uses AI cameras mounted in tire installation bays to automatically count the number of tires changed on each vehicle. Computer vision detects when the existing tires are removed and new tires fitted, incrementing a count for the service ticket.
The system ensures the correct quantity of new tires are installed and invoices are accurate. It also detects anomalies such as missing tire installations or changes without alignment to service recommendations.
Patient Wander Prevention uses real-time sensors to detect when dementia, Alzheimer’s, or psychiatric patients attempt to leave units or facilities unattended. Discreet alerts notify staff to intervene and gently redirect patients before they reach exits. This improves safety and reduces unattended patient escapes. Proactively detecting wandering patients also reduces risks to patients and to the wider public. By minimising wandering events, healthcare staff can devote more consistent care time versus periodically re-locating missing patients. This AI solution cost-effectively supplements stretched nursing staff and alleviates constant exit checks.
Hygiene Audit uses computer vision to ensure compliance with hand washing, PPE wearing, sanitising, and contamination prevention policies by clinical and non-clinical staff. Alerts provide corrective guidance in real-time when violations occur before interacting with patients.
Continuous monitoring improves staff hygiene compliance, reducing hospital acquired infections and driving better health outcomes. Healthcare organisations also avoid penalties, litigation, and reputational damage associated with preventable infections. Ongoing auditing reinforces sustained behavioural change versus periodic inspections. Hygiene Audit provides a persistent safeguard for patients and organisations.
Contactless Monitoring measures patient heart rate, respiratory rate, behaviours, and potential distress using AI cameras. This protects nursing staff while optimising care for at-risk patients such as contagious, confused, combative, or suicidal individuals.
Unobtrusive monitoring also provides care flexibility as nurses can perform other tasks yet remain informed. Privacy controls and access restrictions govern use. For improving safety and care transparency, Contactless Monitoring delivers a hands-off approach with eyes always on.
Waiting Room Analytics employs sensors to estimate waiting times, monitor capacity thresholds, and detect overcrowding. Alerts trigger intake staffing adjustments to minimise patient delays.
Optimising waiting room flow reduces walk-aways and improves experience. Current occupancy and average wait times can also be displayed digitally to set expectations. Waiting Room Analytics enhances service perceptions and converts more inbound traffic into patient visits.
Violence Predictor uses natural language processing and gesture analysis to identify escalating behaviours that could precede a violent outburst by a patient. Staff are discretely alerted to intervene and de-escalate situations.
Contact Tracing identifies all individuals an infected person interacted with across facilities to facilitate quarantine and testing groups for accelerated containment.
Secured Access uses AI cameras, computer vision, and access control integrations to govern facility and restricted area access based on customised role-based permissions, reason for visit, identity verification, and authorisation requirements. As individuals approach entry points, the system automatically validates their identity against an employee database or visitor management system. Access rules determining their entry eligibility and restrictions are then applied based on their profile. Approvers can be automatically notified for dynamic exceptions. Approved visitors are logged while unauthorised individuals trigger alerts to security staff. Tailored protocols also secure sensitive locations such as pharmacies and nurseries to authorised personnel only. Watchlists flag high-risk individuals such as fired staff or patients with restraining orders if detected. Duress credentials under covert threat can also trigger silent security response. With 24/7 autonomous cross-checking of people requesting access against pre-defined rules and requirements, Secured Access prevents unauthorised entry and security breaches.
Queue Manager uses computer vision sensors to monitor checkout lines and self-checkout stations. It detects excessive customer wait times that exceed preset thresholds and alerts staff to open additional registers or call for assistance. Queue Manager optimises front-end staffing to match demand, improving satisfaction. Reducing checkout delays enhances the shopping experience while optimised staffing prevents over-hiring. Customers can finish purchases faster and associates avoid idle time. Queue Manager also allows retailers to display current wait times on digital signage to set expectations. By leveraging AI to monitor queues, retailers maximise sales conversion and satisfaction.
Dwell Time Analyser uses sensors to assess customer time spent at displays or browsing sections. Heatmaps visualise traffic patterns while alerts notify if an area receives minimal attention. Merchandisers relocate or replace underperforming products to recapture that missed revenue.
Increasing product exposure and discoverability boosts conversion. Staff also waste less time manually monitoring or approximating dwell time. By leveraging AI to assess dwell time, retailers enhance sales by optimising high-value display space and placement.
Planogram Analyzer audits shelves to ensure product placement, quantities, and presentation match planograms. Out-of-stocks, misplaced items, and presentation defects are documented. Store operations are alerted to correct issues immediately.
Consistently maintaining planogram compliance keeps products in-stock, locatable, and visually appealing to drive sales. Automated monitoring replaces tedious manual checks while accelerating issue correction. By detecting planogram discrepancies, retailers safeguard revenue and brands.
Customer Counting uses entrance sensors and in-store cameras to maintain real-time, branch-level counts of customers as they enter, exit, and move between areas. Data powers staff planning, promotions, and analysing traffic versus sales.
Accurate visitor metrics enable retailers to optimise associates, services, and marketing to actual demand. The automated counting process eliminates human error and exaggerated approximations. Customer Counting provides retailers enhanced visibility into true traffic.
Demography Analyser uses AI cameras to estimate the age and gender of customers for anonymous demographics analysis. These insights inform staffing, promotions, merchandising, and inventory tailored to local shopper bases.
Understanding their customer mix allows retailers to customise retail strategies by location. Customer anonymity is preserved. Age analysis eliminates bias and assumptions in targeting decisions. Accurate demographics improve relevance.
Repeat Offender Alert uses facial recognition to identify known criminals (shoplifters, armed robbers etc.) as they enter stores. Staff are discreetly notified to provide enhanced monitoring. Notification of entry of such individuals can be automatically routed on to the police for immediate action.
By identifying known criminals at entry points video surveillance can improve prosecution rates for repeated offences. Repeat Offender Alert serves as an always-on first line of defence against loss of stock, physical threats against staff and other customers, and improve store reputation.
Shoplifting Detector leverages AI cameras to autonomously recognise behaviours indicative of shoplifting across stores. These include concealing items, disabling security tags, removing packaging, avoiding cashiers, and other suspicious motions. Real-time alerts enable staff intervention to minimise losses.
With an ever-present AI loss prevention force, retailers reduce inventory shrinkage through shoplifting, which accounted for over $17 billion in losses last year. Continuous video monitoring surpasses limited human surveillance. Shoplifting Detector serves as invaluable invisible “eye in the sky” asset protection.
Perimeter Watch uses AI cameras and sensors around property boundaries to detect unauthorised access and abnormal activity. Alerts are triggered for tailgating vehicles, fence tampering, trespassers, and foot traffic in restricted zones. Prompt intercepts prevent breaches.
Automated monitoring replaces error-prone human surveillance of large areas. Instant notifications enable rapid response while deterring criminals who know advanced systems are present. Perimeter Watch serves as an always-alert digital border guard.
After-Hours Activity monitors private property during nights, weekends, and holidays using indoor and outdoor cameras backed by motion detection and analytics. Any occupied rooms, moving objects, or trespassers trigger alerts for immediate security dispatch.
While staff or occupants are away, persistent AI-powered surveillance maintains property safety. Intruders and destructive activity are immediately detected before significant loss or damage occurs. After-Hours Activity provides 24/7 peace of mind and protection.
Visitor Management uses license plate recognition, facial matching, and access rules to validate visitors at gates and building entrances. Check-in protocols may require authorisation, without which access is restricted and staff are notified to intervene.
Knowing precisely who is on-site at all times improves safety and coordination while avoiding unauthorised entry. Tailored usage rules and profiles control access by various guest types. Visitor Management adds an always-on approval layer for robust property security.
Loitering Detector identifies people or vehicles remaining in fixed high-risk locations like entrances and restricted areas for extended periods. Alerts inform security to investigate and clear the area if necessary to prevent crimes.
Rather than reviewing endless footage, AI proactively spots suspicious loitering indicative of casing activity. Early investigation deters would-be thieves. Loitering Detector provides on-demand monitoring without constant vigilance.
Using our advanced deep learning algorithms, Weapons Detector identifies firearms, knives, and explosives concealed in bags, clothing or vehicles based on images taken from indoor and outdoor cameras. Staff are immediately informed once threats are detected.
Automated screening heightens security without creating bottlenecks or mistakes from manual inspections and metal detectors. Camera coverage replaces limited guard locations. Weapons Detector acts as an extra set of ever vigilant virtual eyes providing constant protection.
Noise Monitoring uses microphones to identify abnormal sounds such as breaking glass, gunshots, shouting, and alarms. The system pinpoints sound locations while filtering out expected noises like traffic. Investigation is guided to the source of commotions.
Instead of reacting after a security incident, abnormal disturbances trigger real-time alerts for preventative intervention. Wide coverage is cost-effectively achieved using distributed, smart sensors versus numerous guards. Noise Monitoring acts as always-attentive digital ears.
Wildfire Watcher uses outdoor AI cameras to continually monitor for smoke patterns, flaming light spectrums, drifting embers, and haze associated with wildfires. Real-time property or forest fire alerts activate automated warnings and suppression systems.
Unlike stationary wildfire spotter cameras, AI-powered fire detection provides complete visibility over an entire property. Instant wildfire alerts enable rapid response to contain small ignitions before large blazes erupt, preventing property loss.
Vehicle Monitor uses AI cameras in parking areas to continually watch over cars, trucks, and other vehicles when unattended. Computer vision detects if individuals are tampering, breaking into, or attempting to remove assets without authorisation. Real-time alerts trigger a response and recorded footage aids investigation.
24/7 autonomous monitoring prevents vehicle vandalism and theft. Vehicle Monitor acts as an always-present protector, thwarting criminals targeting parked cars, boats, ATVs, and other assets.
Automated Barrier integrates license plate recognition and access control to open motorised gates and retractable bollards only for authorised vehicles. Plate images are compared against allowed lists to validate access. Barrier status and entry logs provide an auditable history.
Automating access control removes reliance on vigilant monitoring or pressing buttons. Recognition technology allows precise screening even for large volumes of cars. The barrier strictly governs property access, keeping unauthorised vehicles out.
Inventory Scanner uses AI cameras throughout warehouses to continually scan stock items, pallet tags, and shelf labels. Out-of-stocks, misplaced inventory, and expiration date violations are identified in real-time. Staff are guided to fix issues that impact order fulfilment.
Perpetual inventory visibility ensures accuracy for order picking and shrinkage prevention. Computer vision overcomes gaps that arise between cycle counts, enhancing data quality. Inventory Scanner provides 24/7 stock oversight.
Damage Detector leverages computer vision to identify dented, crushed, or leaking inventory as it moves through warehouses. Alerts ensure damaged goods are flagged and removed from active pick locations to avoid shipping inferior products.
Continuous condition checks augment sporadic manual inspection, especially for high-risk foods and fragile goods. Early detection allows items to be quarantined, returned, or disposed before reaching customers. Damage Detector safeguards quality.
Safety Inspector scans warehouse floors, docks, machinery, and fixtures using computer vision to identify risks like debris, spills, cracks, electrical issues, and blocked exits. Alerts coordinate immediate remediation to prevent safety incidents.
Perpetual, unbiased monitoring enhances safety by detecting even minor hazards compared to periodic inspections. Preventing workplace accidents improves operations, lowers insurance costs, and maintains company reputation. Safety Inspector embeds vigilance into warehouses.
Forklift Safety System is a modern technical solution in the field of industrial safety, designed for use in warehouses and manufacturing facilities. The main goal of this system is to minimise the risk of forklift collisions with people. To achieve this, the system is installed on the forklift and, thanks to two cameras - front and rear - it is able to track people in the “blind” zones of the forklift’s view. The driver receives a warning of potential danger, which allows them to take measures to avoid collision.
The system is integrated with our platform, which allows data on possible safety violations in manufacturing and warehouses to be collected and analysed. This information can be used to take steps to improve safety in the future.