APPLICATIONCorsight AI
Advanced facial recognition technology for security, surveillance and real-time operational decision-making.
A facial recognition and contextual video-analytics platform that helps security teams quickly identify persons of interest, flag unauthorized entry into protected zones and uncover behavioural patterns associated with theft, fraud or security incidents. The technology is designed for demanding environments where standard video surveillance does not provide enough information in time.
•real-time recognition of persons of interest, even in adverse conditions,
•use of existing camera infrastructure without the need for a complete system replacement,
•support for live surveillance, forensic search and access control,
•emphasis on privacy protection, ethical use and GDPR-compliant tools
Application AI CorsightAppearance
CORSIGHT AIDetection and analytics systems
Corsight FortifyAccurate facial recognition in crowds and challenging conditions. Fortify works even in low light, at extreme angles, with people in motion, lower image quality or a partially covered face.
Corsight APIA RESTful API makes it possible to integrate facial recognition into existing security, access or operational systems, adding capabilities such as biometric verification, KYC authorization, identification of suspicious behaviour, access control and data analytics.
- •Real-time alerts - The system alerts the operator on a watchlist match, unauthorized entry or the identification of risky behavioural patterns.
- •Forensic analysis - Tools for retrospective search of persons and events in video recordings help speed up incident investigations and gain an overview of who was involved, when and where.
CORSIGHT AIUse by industry
Critical infrastructureFacial recognition for control systems protecting critical infrastructure. Increased security at high-security facilities, faster check-in/check-out and real-time attendance tracking.
- •a biometrically defined perimeter around restricted areas,
- •access management to critical facilities, including military installations and government buildings,
- •facial recognition with a face mask without loss of accuracy,
- •alerts on attempted unauthorized passage.
Security forcesReal-time threat detection and forensic investigation, in particular identifying wanted and missing persons, retrospective processing of camera footage or searching for persons of interest across recordings,
- •identification of wanted persons and missing persons,
- •forensic analysis of video recordings after an event,
- •searching for suspicious behaviour
AirportsFacial recognition to increase security, protect restricted areas, reduce crime around the airport and automate the process at the departure gate.
- •security and customs processes,
- •instant alerts on suspicious persons — criminals, terrorists, smugglers, persons banned from air travel (no-fly list),
- •surveillance of restricted areas,
- •investigation of contacts and incidents,
- •alerts on suspicious persons.
Smart & Safe CityImproving safety and order in the city, managing large events and reducing crime. Capabilities include alerts on persons of interest and searching for appearances of persons in recordings.
- •alerts on persons of interest across different locations in the city,
- •search and identification across video systems,
- •fast and scalable recognition,
- •support for a larger number of CCTV sources, fast face search, longer video storage and large events.
- •fast search in municipal camera systems.
RetailUsing the existing camera system to prevent theft and reduce losses in stores. It also supports service-quality management, access control to sensitive areas and footfall analysis.
- •loss prevention by identifying persons from watchlists or behavioural patterns typical of theft,
- •detecting fraud by employees based on unusual interactions between an employee and a customer,
- •identifying repeat customers and customers who may need assistance,
- •analysis of the staff-to-customer ratio and monitoring of queue speed,
- •alerts on unauthorized attempts to enter restricted zones,
- •analysis of customers by age, gender, length and frequency of visits,
- •detection of repeated appearance of a person within a defined time window even without prior knowledge of their identity,
- •protecting the store outside opening hours by alerting to a person lingering near the premises or appearing repeatedly within a short time.
Prisons and correctional facilitiesIntegration with existing cameras, a safer environment for staff and inmates, real-time identification of suspicious behavioural patterns and anomalies, and instant alerts for a rapid staff response.
- •detection of dangerous and illegal behaviour in real time,
- •prevention of escapes, smuggling, theft and contraband,
- •alerts on missing inmates,
- •detection of unauthorized persons in a restricted area
- •support for maintaining the guard-to-inmate ratio, schedules and movement restrictions.
CORSIGHT AICase studies
Case study
Public safety - Polícia Militar de São Paulo, Brazil
Challenges:
The São Paulo metropolitan area faces high demands for public safety, rapid response to incidents and effective surveillance of busy public and private spaces. The project was launched at the 14th Military Police Battalion in Osasco as part of a broader initiative to modernize the security infrastructure.- •The need for faster identification of suspicious persons and potential threats.
- •Surveillance of places with a high concentration of people, such as shopping centres, parks, bridges or residential complexes.
- •Integration of multiple security technologies into a single monitoring workstation.
- •Preparing a solution that can be gradually expanded to other police battalions across the state of São Paulo.
Solution:
The Corsight AI Facial Intelligence platform was incorporated into the security project as part of a comprehensive solution that also included the detection of weapons, smoke, falls and scuffles, along with camera infrastructure.- •Deployment of AI facial recognition in the battalion's monitoring centre.
- •Interconnection of cameras, video analytics, licence plate recognition and surveillance screens.
- •Placement of camera points at critical public and private facilities.
- •Automatic alerts to police forces upon detecting a person or situation requiring intervention.
- •Planned integration of databases with the Cortex national system of the Brazilian Ministry of Justice.
Benefits
- •Faster assessment of potential threats and more effective field response.
- •Use of a single central workstation to monitor multiple technologies.
- •A scalable public-private partnership model.
- •Monitoring rooms will be gradually delivered for all 380 Polícia Militar battalions in the state of São Paulo.
Customer testimonial
- •Roberto Rocha, CEO of Segdboa (project guarantor): "We chose Corsight AI's technology for its proven accuracy in real-world conditions and for its objective performance regardless of gender and ethnicity."
Case study
Police - Essex Police, United Kingdom
Challenges:
Essex Police was looking for a way to identify persons wanted in connection with investigations, on probation or under court restrictions, while also protecting vulnerable people. The deployment took place at public events and in an urban environment.- •Identifying wanted persons in motion and in a crowd.
- •Supporting the police at mass events and in busy public locations.
- •Ensuring transparent data handling and
- •Minimal retention of data on persons outside the defined watchlist.
Solution:
Essex Police deployed Live Facial Recognition technology supplied by Corsight AI and Digital Barriers. The solution enabled facial recognition in real time as well as for retrospective investigation.- •Matching persons against a defined watchlist.
- •Use of live camera sources, including vehicle-mounted cameras and body cameras.
- •Immediate deletion of images of persons not identified as a match with the list.
- •Support for both investigation and operational field deployment.
Benefits
- •During deployment in August 2024, the technology led to three arrests at the Clacton Airshow and two further arrests in Southend.
- •The system helped identify persons wanted for serious crimes, as well as vulnerable persons.
- •A tool for faster response in public spaces.
- •It enables both live monitoring and retrospective forensic analysis.
Customer testimonial:
- •Chief Superintendent Andy Pritchard: "We are an innovative and progressive police force that uses new technologies to keep citizens safe and deter crime. We use our real-time facial recognition technology to locate people we need to speak to in connection with ongoing investigations and to monitor people subject to court orders or conditions. Criminals must not think they can move freely around our communities without being caught."
Case study
Retail and public spaces - Mall of America, USA
Challenges:
Mall of America is one of the largest shopping and entertainment complexes in North America. The centre covers over 520,000 square metres and therefore places high demands on security surveillance, rapid identification of high-risk persons and protection of visitors.- •The security team cannot physically cover the entire vast area at once.
- •Identifying persons suspected of unauthorized entry, persons posing a threat and missing or vulnerable persons.
- •Preserving the privacy of ordinary visitors.
- •Complementing existing security procedures with a modern analytical tool.
Solution:
Mall of America began using Corsight AI technology as part of its security system.- •Using the existing camera infrastructure to compare against a database of persons of interest.
- •Automatic alerts to the security team on a possible match.
- •No retention of data on persons not identified as a match.
- •According to Mall of America, the algorithm was tested by NIST and DHS; in DHS testing, persons were correctly identified in 99.3% of cases.
Benefits
- •Fast identification of persons of interest in an extremely large area.
- •Better support for the security team in protecting visitors and employees.
- •Incident prevention without blanket retention of ordinary visitors' data.
- •Support for operational safety in a high-traffic environment.
Customer testimonial:
- •"Across 520,000 square metres, our staff cannot be everywhere at once," said Will Bernhjelm, Vice President of Security at Mall of America. "Using this state-of-the-art technology will allow us to do what we already do even faster: identify suspicious persons and keep Mall of America and its visitors safe."
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