OS Vision for business

Case of value

Artificial intelligence, Industry_All

Os Vision facilitates the creation and management of artificial vision applications through automated workflows and advanced models.

client

It is ideal for industrial, manufacturing, agricultural, banking, insurance and medical sectors, among others, that seek to optimise operations through pattern detection, process automation and freeing up human resources for strategic tasks.

challenge

Integrating OS Vision, an advanced computer vision solution, makes this innovative technology accessible to any business sector. It optimises processes, improves management, and ensures precision in critical decisions.

“

Computer vision is the new technology redefining the way businesses operate.’

Henry Navarro, Head of AI at OpenSistemas

problem

High implementation cost: Incorporating computer vision solutions represents a significant investment, which can be an obstacle for many companies wishing to adopt this technology but facing budgetary constraints.
Technical complexity: Developing and extracting value from computer vision is technically complex. Collecting and preparing suitable data requires advanced skills, as does integrating these solutions with existing systems.
Non-automated tasks: The lack of automation in these tasks limits operational efficiency and the ability to scale operations.
Low accuracy and frequent errors: Another significant difficulty is limited accuracy and frequency of errors. This may be due to the inability of current systems to handle visual data accurately and reliably, especially in environments that require critical decision-making based on visual data.

impact

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How do we do it?

We operate as a ‘model factory’ through our platform that simplifies the creation, deployment and management of large-scale artificial vision applications. We integrate automated workflows and advanced models such as YOLO to provide real-time notifications and responses, thereby improving the operational efficiency of our clients.

We develop an integrated webapp with an API for direct integration with their existing systems, eliminating the need for additional application development, and we deploy specialised neural networks to ensure privacy and meet the specific objectives of each sector.

In parallel, we continue to refine the neural network through training with collected images, resulting in a final solution within a few months. This facilitates direct communication and improves detection capabilities.

Furthermore, we integrate our SofIA platform into the customer support chat, where users can upload photos or videos for the segmentation neural network to train on and provide a detailed report, thus facilitating the evaluation and precision of processes for businesses.

These applications demonstrate how computer vision not only optimises processes but also opens up new opportunities to improve efficiency, safety and quality across various industrial and commercial sectors.

Real-time responses:By capturing and analysing visual data in real time, such as vehicular traffic at intersections or user behaviour in mobile applications, businesses can optimise routes, improve operational efficiency and respond nimbly to emerging situations.
Traffic optimisation: : This allows for the reduction of operational costs by minimising waiting times and congestion, whilst also improving customer experience by offering more efficient and personalised services.
Automation of quality inspection:By implementing our solution, companies improve the consistency and accuracy of the process. Through the use of advanced algorithms and cameras, minute defects that might go unnoticed during manual inspection can be detected.
Advancements in healthcare diagnostics: By utilising image analysis algorithms to identify patterns and anomalies in medical images, such as X-rays or scans, healthcare professionals can make more accurate and earlier diagnoses.
Security and control in logistics: Through visual recognition systems that verify employee identity or monitor the entry and exit of goods, organisations can prevent theft, improve product traceability and optimise internal logistics.

This repository of pre-trained models is key in the application of AI in vision. From image classification to object detection and segmentation, it functions as a centre of excellence for storing and maintaining advanced models, designed to solve business challenges with quick and effective solutions, focused on customisation.

We specialise in adapting existing models and training new algorithms, thus accelerating the development and implementation of specific applications for various industries. Each solution is built with precision, efficiency and alignment with the strategic objectives of our business partners.

The Model Zoo drives digital transformation and operational efficiency in businesses. From improving quality in manufacturing to optimising logistics and visual data analysis, each solution is based on specialised artificial intelligence. Our commitment to technical excellence and customisation prepares our clients for future challenges in a dynamic and competitive global market.

Results

Our solution enables companies to improve efficiency and reduce expenses associated with manual inspections and preventive maintenance.

By providing pre-trained tools and models that simplify the development and exploitation of computer vision, we accelerate data collection and preparation, as well as integration with existing systems, optimising overall operational efficiency.

Automates critical tasks that were previously not automated, allowing businesses to scale operations without compromising quality or decision-making accuracy.

Significantly increases the accuracy of results and reduces common errors through the use of advanced algorithms and models. This ensures that decisions based on visual data are more reliable and effective for the business.

We implement a continuous improvement cycle that adapts to the changing needs of the business and the market. This enables companies to remain competitive and anticipate future technological challenges.

By freeing human resources from repetitive tasks and fostering innovation, productivity is improved and the company’s strategic position in its industry is strengthened.