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AITRIOS
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Vision AI for Smart City Proactive city management can improve quality of life, promote sustainability, and optimize public services.
Smarter public investment

Using intelligent systems makes data-driven planning and decision-making possible. By leaving out any guesswork, city managers can prioritize based on evidence: which road needs attention first, in which areas garbage collection might be inefficient, where transit demand is increasing, and so on.

Improve service reliability and citizen experience

When systems are monitored consistently and optimized continuously, services fail less often. Making services more reliable with support from early anomaly detection, predictive maintenance, and faster response times, helps to improve the experience of the people living in the city and builds trust and confidence.

Economic competitiveness

Implementing smart city AI vision solutions contributes to a city that is more attractive to live in, but also more convenient to do business in. An environment with a predictable infrastructure can easily become a platform for growth, attracting new businesses and investments.

Mobility & Traffic optimization

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Parking detection

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License plate recognition

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Parking violation detection

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Bike lane counting

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Traffic management

Safety & Security

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Intruder alert

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Crowd management

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Urban operations & Infrastructure

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Dynamic lighting

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Vehicle to infrastructure

Automate data collection at scale

Simplify data collection at scale with vision AI built for the real world. AITRIOS replaces complex, power-consuming setups with an all-in-one edge AI camera that’s easy to deploy, energy-efficient, and cost-effective. With built-in AI processing, flexible network connectivity, and privacy-first design, teams can capture and analyze visual data instantly.

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Car parking space monitoring

AITRIOS simplifies parking space monitoring by bringing AI processing directly to the camera. Vehicles are detected at the edge to determine vacant and occupied spaces, producing lightweight metadata instead of raw video. This reduces bandwidth needs, lowers operating costs, and delivers reliable performance even in environments with limited connectivity.

Designed to scale easily, AITRIOS can support multiple cameras across single or multiple parking locations. Gain real-time occupancy analytics, centralized device management, and seamless remote AI model updates. Parking availability data can be integrated into mobile and navigation apps, improving driver experience while keeping deployment simple and privacy-friendly.

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Number plate recognition

AITRIOS enables automated number plate recognition directly at the edge, delivering fast and reliable vehicle identification at entry and exit points. By processing vision AI on the camera, number plates are accurately detected without relying on constant network connectivity. Local allow lists enable immediate access decisions, even during outages, while only processed metadata is shared to preserve privacy.

Built for scale, AITRIOS centralizes entry and exit data for auditing and trend analysis across multiple locations.

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People flow analysis

AITRIOS delivers real-time people flow analysis by running vision AI models directly on edge devices. Pedestrians can be detected, tracked, and counted locally across busy public spaces, with insights such as dwell time, direction of movement, and congestion points generated without streaming video. By exporting only anonymized inference data, AITRIOS reduces bandwidth usage while protecting privacy by design.

Data from multiple cameras and locations is aggregated in AITRIOS to reveal movement patterns over time through heatmaps and analytics.

Explore Smart City use cases

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Traffic safety and monitoring

Cities can use edge AI vision to improve road safety and understand how streets are used in real time. Intelligent vision sensors with built-in edge AI can monitor intersections and road corridors, detecting vehicle movements and pedestrians even in challenging lighting or weather conditions. This real-time detection helps city officials focus on high-risk areas and improve safety for vulnerable road users.

By combining the metadata from many edge AI devices, cities can see live conditions, compare trends over time, and use that insight to make smarter, safer mobility decisions across the urban area.

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Parking occupancy and vehicle management

Parking operators can use edge AI vision to make real-time decisions across multiple parking sites. AI cameras installed at entrances, exits, and inside parking areas can detect vehicles, read license plates, and track how long cars stay. The cameras process the data at the edge and send only important information to the cloud, helping reduce data traffic, lower costs, and protect privacy.

By bringing together data from all locations, operators can see real-time parking availability and vehicle flow on a single dashboard. Cloud analytics can support billing, access control, and long-term data analysis. Over time, this data can help improve space usage, reduce congestion, and expand the system to other areas such as logistics yards or facility security.