ScanCar Vision for smarter parking
Reviewing parking violations shouldn’t be manual guesswork. We built a computer vision POC on Google Cloud to help Parking Brussels assess images faster and make more accurate decisions.
The challenge
Parking Brussels relies on image-based checks to decide whether a fine should be issued. Many of these images are low quality, making it difficult to see exactly what is on the image.
As a result, operators spend a lot of time reviewing cases manually. This leads to human errors and complaints. With AI assisting in image analysis, this process can be optimized.
Our approach
The partnership focused on redesigning the data foundation on Google Cloud Platform. First, the team migrated data into a new cloud-based model that anonymized personal data and powered an interactive client portal with dashboards and reporting. Next, the architecture was expanded with BigQuery and automated data flows so new data streams could be received, preserved, processed, and delivered in a controlled way. Separate environments were also set up so each business unit could only access its own data.
The outcome
The result was a more efficient, more scalable, and more compliant way of working. Generali Employee Benefits gained a stronger basis for digital service delivery, improved internal performance, and saw analytics usage increase by up to 950%. What had once been a manual and labour-intensive process became an automated, GDPR-conscious data flow that supported both customer service quality and long-term transformation.
Have a talk
with us
