Use cases
Client stories

SentiVeillance Cluster Enhances COMSTAR SENTINEL V.A.S.T. System for RAKEZ
SentiVeillance Cluster solution has been deployed by COMSTAR to power the Validated Access and Secure Tracking system across the expansive Ras Al Khaimah Economic Zone

SentiVeillance Automated License Plate Recognition used for the City of Plovdiv
SentiVeillance SDK used in Bulgaria’s Plovdiv municipality to improve parking monitoring across the city.
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Customers
By integrating Neurotechnology’s advanced video analytics solution, we have enhanced the capabilities of our SENTINEL V.A.S.T. System. This partnership has helped us implement a secure access management and weighbridge system, process vast amounts of data in near real-time and ensure seamless operations within the RAKEZ free-trade zone.
Feras Al-Khalaileh
CEO, ComStar Security
SentiVeillance video analytics provided Plovdiv’s parking enforcement officers with real-time automated license plate recognition. The whole system frees up valuable resources and streamlines the process of accurately monitoring parking permit status. It’s not just surveillance, it’s smart mobility, and that’s what sets this solution apart.
Ivan Dimitrov
CEO of MGI Mobility Services
We chose SentiVeillance video surveillance solutions because of the ease of incorporating face identification and license plate recognition to our newly established online surveillance management system. Having such technological advantage helped us to stand out from the competition in our field.
John More
President, Asterix Software, Inc.
We have been using SentiVeillance solutions for 3 years. During this time SentiVeillance technology proved to be a mature and stable solution for face, human, and plates recognition. Not to be underestimated is the fact that working with SentiVeillance Technical Support is a real pleasure. They’re professional and always on time with real and accurate help.
Johann HeiĂźinger
Novomatic Biometric Systems
We’ve been using SentiVeillance solution in uniPark parking lots for over a year and we are absolutely impressed with the benefits of this technology. The ability to register cars from different camera angles and in total wild scenarios, without barriers or closely placed cameras, gives us new opportunities to provide flexible and cost-effective solutions to the market.
Justinas Doviltis
Director of IT at UniPark
Using SentiVeillance algorithms enabled us to create our own biometric identification system capable of processing video streams and thermal screening. Constant algorithm updates from Neurotechnology keeps software performance at the peak.
Oleh Amirhuseinov
CEO of Talan Systems
Target Sectors
E-gates
Biometric access control systems that use SentiVeillance face modality enhance security, increase efficiency in person profiling and decrease their processing time. In airports, this reduces queuing and relieves pressure from immigration authorities.
Traffic
SentiVeillance vehicle-human modality integrated into surveillance cameras at traffic signals or at busy junctions can be used to monitor traffic patterns, ensure driver and pedestrian safety, and assist in traffic violation investigations.
Security
Monitoring public and private areas with the help of SentiVeillance for the purpose of maintaining safety and security reduces the possibility of theft, abuse, gang violence, and other criminal activities.
Police
Passive biometric person and vehicle identification, real-time matching against the watchlist database, automatic operation logs, and reports elevate police officers’ work and allow them to maintain public order and safety.
Parking
Placed at the entrance of the parking lots, surveillance systems with ALPR modality assure access control for registered vehicles, and ensure they can only enter if there are empty parking spots left.
Software development kits
SentiVeillance software development kit provides the modalities, programming tutorials, and documentation required to develop a person or vehicle recognition solution. Integrate them into your end-user product for faster and more efficient deployment.
