The Power of Artificial Intelligence in Automating Critical Processes
The intelligent automation of infrastructures such as bus stations, parking lots, or industrial production lines is revolutionizing how we manage critical spaces and processes. At Bravent, we combine Computer Vision, Machine Learning, and Edge Computing to deliver scalable, secure, and efficient solutions powered by leading technologies like Intel® OpenVINO™ and Intel® Geti™.
From Bus Bays to Industry: A Modular Computer Vision Ecosystem
Our Computer Vision Framework adapts to multiple sectors thanks to its modular approach, composed of three services:
- Computer Vision as a Service: Custom model training using technologies like Intel Geti.
- Training for Model Development: Technical training for internal teams.
- Platform for Model Training: Ready-to-use infrastructure, both cloud-based and on-premise.
This ecosystem enables the deployment of computer vision solutions in local (edge) environments, reducing latency, enhancing privacy, and accelerating decision-making.
Intel as a Technological Engine
Collaboration with Intel is key to our solutions. Thanks to tools such as:
- Intel® OpenVINO™: Model optimization for real-time inference.
- Intel® Geti™: A computer vision model training platform available in cloud, on-premise, or as a managed service by Bravent.
These technologies enable:
- Local processing without cloud dependency.
- Up to 80% error reduction.
- Scalability without retraining models.
- Easy integration with existing systems (ERP, MES, etc.).
Use Case: Intelligent Control of Bus Bays
In transportation environments like bus stations, we’ve implemented Smart Parking solutions based on Intel’s Edge Software Catalog, enabling:
- Automatic License Plate Recognition (ALPR) for access management.
- Real-time visualization of bay occupancy status.
- Automatic detection of operational anomalies.
This solution improves operational efficiency, reduces human error, and provides a smoother experience for operators and travellers.
Use Case: In-Store Behaviour Analysis
For the retail sector, we’ve developed an advanced system that combines surveillance cameras with Intel’s computer vision models.
This technology allows detailed tracking of customer movement within the store, identification of demographic features such as gender and age, and analysis of specific objects, like the brands visible on customers’ shopping bags.
To transform this complex data into accessible and actionable insights, we developed a PowerBI dashboard. This tool visualizes key collected data, facilitating analysis and data-driven decision-making.
The implementation of this system provides the client with a deep understanding of visitor behaviour and characteristics. With access to real-time visual and numerical information, the client can now make informed decisions to enhance the shopping experience, adjust store layout based on areas of interest or dwell time, and develop more effective marketing strategies targeted at specific customer segments.
Additionally, the ability to detect competitor products in visitors’ bags offers a unique strategic advantage, allowing the client to adapt offerings and promotional strategies to compete more effectively in the market.
Success Story: John Deere and Production Automation
In the industrial sector, John Deere faced the challenge of reducing human error in a large manual assembly line. With our Industrial Vision Solution, developed using computer vision and machine learning algorithms, they achieved:
- Automated visual inspection of parts.
- Real-time deviation detection.
- Assurance of final product quality.
- Fast and secure response to any anomaly.
Thanks to Intel technology, John Deere transformed its assembly line into a smart, connected, and highly efficient environment.
Conclusion
Computer vision combined with Edge Computing and Intel technologies not only enhances infrastructure monitoring—it redefines how we operate in critical sectors. From bus bay management to industrial production, our solutions enable intelligent, secure, and scalable automation.
María Soto Castro
Head of Innovation - BraventWant to know how to apply these technologies to your business?
👉 Contact our expert team at info@bravent.net and take the next step toward digital transformation.
