Smart Cities and ADAS

Let’s Design Tomorrow’s City Together

Data-powered transformation for urban environments

At Ingedata, we empower innovators building smart cities and Advanced Driver Assistance Systems (ADAS) by delivering scalable, high-quality AI training data. From autonomous vehicles to intelligent infrastructure, our teams provide accurate, ethical, and human-curated data that powers safer, smarter, and more connected urban environments.

Smart Cities welcome the future with innovation that gives results

Accelerating the future of mobility and urban living through AI-driven data solutions

A Smart City is more than a vision—it’s a connected ecosystem powered by information and communication technologies (ICT). By integrating real-time monitoring, sensor networks, and AI-ready data, cities can enhance public safety, streamline services, and optimize the use of resources.

At Ingedata, we deliver tailored data labeling services for smart city applications—from infrastructure mapping and geospatial data annotation to IoT sensor analytics and environmental monitoring. Our solutions support proactive governance, smart utility management, and resilient city planning.

Our Offer

Specialized annotation techniques tailored to your 2D and 3D data

Bounding box annotation is one of the most widely used techniques in computer vision. It defines the X and Y coordinates of an object in a 2D space, making it ideal for object detection and classification tasks in real-time applications such as ADAS and smart surveillance systems. This method is fast to draw, well-suited for large-scale datasets, and highly efficient for models requiring quick object localization. While it may sometimes include a bit of background noise around the object, it remains a reliable and scalable approach for most visual recognition tasks.

Cuboid annotation adds a third dimension to traditional image labeling by capturing the depth, orientation, and volume of an object. This 3D representation allows AI systems to better interpret spatial relationships within an environment. It is especially valuable for estimating distances between objects and plays a key role in applications like obstacle detection, autonomous navigation, and advanced robotics where understanding depth and positioning is critical.

Point cloud annotation is essential for interpreting complex 3D data captured by LiDAR sensors, whether mounted on self-driving cars, drones, or satellites. This technique enables real-time understanding of three-dimensional environments by mapping millions of spatial points into recognizable forms. It requires specialized tools and deep expertise, often supported by human-in-the-loop validation, to ensure precise segmentation and accurate scene interpretation—making it a powerful foundation for autonomous navigation and smart mapping technologies.

Trusted by Leaders in AI and Innovation

At Ingedata, we offer high-end services through a robust data production methodology that ensures accuracy, scalability, and flexibility. What truly drives our success, however, is our exceptional team of 500 skilled professionals. As a people-centric company, we are committed to bringing talent from developing countries onto the global AI stage. This human foundation allows us to deliver not just reliable data, but real-world impact—earning the trust of forward-thinking companies across the fields of autonomous vehicles, smart cities, computer vision, and natural language processing. Our clients choose Ingedata for both the quality of our work and the people behind it.

« The collaboration with Ingedata allowed XXII Group to reach a high level of attractivity towards data scientists, since we are now able to provide them with abundant annotated data. These annotations are delivered by Ingedata through our dedicated team of 20 annotators working hand in hand with our team. Considering the very tight market conditions on the data scientists market, this is a considerable business result for us to grow fast. »

William Eldin CEO @XXII Group

Our expertise

Developing Smart Cities involves anticipating future transportation networks requirements, foresee smart buildings, etc.

Ingedata’s key differentiator is our ability to extract highly accurate information.

We have the largest photo interpretation team in Africa, with over 100 photo interpreters working on Earth observation projects.

We even work for the French and the US Departments of Defense, which demonstrates our ability to fit into projects with high confidentiality requirements.

By offering a high-precision geospatial imagery service, our team of experts provides accurate information to our clients, which gives them a recognized competitive advantage.

Our Case Studies

Learn more about our approach and explore our case studies

Ready to Build Smarter AI Together?

Let’s turn your data into impact.