Introducing CityLens, the lightweight Android tool that helps you digitize the urban environment like never before: fast, accurate and cheap. CityLens collects and outputs data in a convenient and prepared format that meets the needs of city management.
A cost-effective data capture solution: no software required, lightweight photos instead of videos. Data history is accessible. CityLens collects and outputs data in a convenient and prepared format that meets the needs of city management.
• Expensive technology with a long-term implementation
• Find a solution that is preventive and not counteracting
• Data gathering process slows the process
• Practical, cost-effective, and flexible approach
• Simultaneously inspection is applied at any time
• Technology integration with an AI/computer vision model trained to identify and analyze the different inspection elements.
Data collection can be performed with less staff and equipment and at a lower cost as a result.
Object recognition algorithms that select and type the necessary features, as well as bind them to specific objects (for example, a road) or coordinates on a map. Due to the accuracy of the Urbi map, you can be sure that objects will be tied to addresses as accurately as possible.
An excellent combination: CityLens and Urbi Pro. Various forms and scenarios are available for visualizing the collected data. Collect and process data in a convenient and ready-to-use format that meets all city management needs.
The lightweight, easy-to-use Android app makes scanning and digitizing real-world objects quick and easy. The app also works with most Android devices, making this tool accessible to a broad audience.
A cost-effective data capture solution: no software required, lightweight photos instead of videos. Data history is accessible. CityLens collects and outputs data in a convenient and prepared format that meets the needs of city management.
While moving through the city streets on foot or by car, the CityLens application collects key frames at regular intervals of n-time.
After recording, the frames are sent to our server, where they are sorted (by coordinates, attributes) and filtered into recognizable objects categories (traffic lights, signs, etc.).
The filtered frames and objects are sent as a dataset to UrbiPro, where they can be visually present on the map. Learn more about Urbi Pro.
Urbi can identify street waste and analyze trash bin density
Urbi can detect road speed limits, traffic lights and pedestrian crosswalks