Key Takeaways
1 Businesses are now able to automate their visual data processing through AI-based development services for computer vision.
2 Retail, healthcare, automotive and security services are being transformed by this technology through AI-based development services for computer vision.
3 Appinventiv offers a full range of end-to-end visual data processing solutions.
4 Organizations that invest in computer vision can expect improved operational efficiencies, reduced costs and an improved customer experience.
The volume of visual data being generated by businesses is staggering, and continues to grow at an unprecedented pace. We have everything from surveillance tape (security cameras) to product photography (images of food and clothing) to medical imaging (CT scans and MRIs), and it’s not just about getting that data, but also being able to use it efficiently. Manually processing large amounts of visual data by hand is time-consuming, error-prone, and often impractical.
This is where computer vision development services come into play. The use of artificial intelligence (AI), and machine learning (ML) allows businesses to automate the analysis of video and image data; generate actionable insights from the analyzed data; provide quicker, smarter decisions.
At Appinventiv we realize that visual intelligence is not only a technological advancement, but also a business necessity. Companies that do not adopt AI-driven visual processing will find themselves lagging behind their competitors who do leverage the use of AI to improve efficiency and innovate.
Understanding the Industry Reality
Across all industries, there continues to be a substantial increase in the need for computer vision development services. Retailers are in search of live analytics enabling them to manage their stock levels more effectively while providing consumers with an improved shopping experience. Medical professionals utilize accurate image analysis to identify health issues before it is too late; there are numerous examples of deaths that could have been prevented with early detection of illness (by using images).
Furthermore, automotive manufacturers are utilizing artificial intelligence driven vision systems to create self-driving cars and safe driving systems.
However, companies face obstacles when implementing computer vision solutions:
1 Designing scalable models requires a high level of complexity.
2 Integrating existing systems present additional complications.
3 Maintaining data privacy and compliance take up significant time and resources.
The preceding points indicate that there is significant value in finding the right partner to provide not just technology, but custom-tailored, full-cycle solutions to create the most desirable experience possible. Appinventiv provides precisely these types of services to customers in need through computer vision development services.
The Architecture of AI-Powered Computer Vision
Creating a robust computer vision application typically requires a combination of several layers including Artificial Intelligence (AI), data processing, and infrastructure. When looking at the overall architecture, it can be broken down into:
1) Data Gathering and Preparation – Image and video data will typically come from one of either; cameras, sensors and/or digital sources.
2) Preprocessing of Data for Quality – The purpose of preprocessing data is to ensure the quality of the data is suitable for training by performing actions such as; normalization, augmentation and/or annotations.
3) Training of Models – Learning through advances in deep learning techniques (i.e. convolutional neural networks (CNNs)) to allow the model’s ability to learn patterns, identify objects, and detect anomalies.
4) Integration and Deployment of Models – Integrating developed models into a company’s existing business systems, or providing access to them through public or private cloud solutions. Real-time processing will allow users to receive immediate actionable insight from the developed computer vision models.
5) Monitoring and Optimization of Models – Continuous monitoring and retraining of models will ensure the accuracy of the developed models, and adapt to changing data trends.
This layered approach will allow your company to develop and/or implement a significant amount of visual data collection and analysis while maintaining high levels of accuracy. Appinventiv specializes in building and designing custom scalable and secure computer vision architectures tailored to our customer’s individual business needs.
Service Mapping: How Appinventiv Delivers Value
Appinventiv’s computer vision development services provide support for all stages of an AI project from initial planning to final deployment. Here’s how we add value through our work:
1 Custom AI Models – Our team builds custom models based on your industry needs, allowing for higher accuracy than standard models on tasks such as object detection, facial recognition, and defect detection.
2 Real-Time Analytics – Automated visual data processing allows for real-time analytics that supports immediate decision making.
3 Integration Services – Our integration services enable our customers to have their visual solutions integrated smoothly with their enterprise resource planning (ERP) systems, Internet of Things (IoT) devices, and cloud platforms to provide continuous workflow without interruptions.
4 Maintenance & Support – Our teams will continuously optimize your models, make necessary updates, and provide ongoing support to accommodate changes to your business’s requirements.
By providing complete end-to-end solutions, Appinventiv enables our customers to maximize the value of their visual data, minimize operational expenses, and improve the experience of their customers.
Real-World Applications of Computer Vision
1 Retail & E-Commerce: Thanks to AI-powered vision systems, retailers are now able to predict trends, find ways to optimize store layouts, and decrease stock-outs through visual searches, inventory tracking, and behavioral analysis of customers.
2 Healthcare: By providing a means for computer vision technology to identify problems with imaging (like X-ray images), as well as enabling real-time video monitoring of patients, we have greatly reduced the chance of human error and accelerated the diagnosis process around critical conditions.
3 Automotive: ADS (Advanced Driver Assistance Systems) and fully self-driving vehicles both require computer vision technologies for lane keeping, obstacle detection and driver safety monitoring.
4 Security & Surveillance: Automated systems for monitoring activity help identify anomalies in behavior (i.e. unusual behavior), detect unauthorized access and improve overall safety.
5 Manufacturing: The ability to conduct real-time visual inspections of products ensures that the product meets minimum quality standards, reduces waste and avoids defective products from being sent to consumers.
The many ways in which computer vision is being used illustrate how companies can revolutionize their businesses through this technology. Companies that implement these technologies into their operations will experience not only greater operational efficiency but also gain a competitive advantage.
Benefits of AI-Powered Computer Vision Development Services
Increased Reliability: Machines are better than humans at finding visual data where they will make less errors.
1 Able to Grow: Systems have the ability to analyze hundreds or thousands of images or videos instantly.
2 Decreased Costs: Automation takes away the need for manual inspection and monitoring of images.
3 Faster Decision Making: The use of real-time data will decrease the time it takes to make operational and strategic decisions.
4 Better Customer Satisfaction: Customers can now receive customized and timely responses due to the use of intelligent visual analysis.
Appinventiv strives to bring these benefits to your company in a manner that is both practical and oriented towards the business world so that implementing AI will directly lead to measurable results for your company.
Conclusion
The need for more effective processing methods of visual data in today’s digital world is ever increasing. That is why businesses need to utilize computer vision development services powered by AI. By enhancing operational efficiency and increasing customer satisfaction, there are tangible and quantifiable benefits from AI-based computer vision development services.
By utilizing our extensive expertise in the design, deployment and maintenance of AI-based vision systems, Appinventiv allows companies to realise their full potential through the intelligent use of visual data. By leveraging computer vision today, you will create a platform for continued innovation, efficiency, and increased revenues in the future.
FAQ’s on Computer Vision Development Services
Q1: What exactly is meant by ‘computer vision development services’?
Computer vision development services consist of creating and implementing an artificial intelligence (AI) solution that can represent visual information (images and videos) through analysis, recognition, and simulation of visual data. This includes training, deploying, integrating, and continually improving computer vision models.
Q2: What sectors benefit predominantly from using computer vision technology?
Computer vision technology is most beneficial for companies in sectors such as retail/consumer goods, health care, automotive, security (law enforcement), and manufacturing industries. However, computer vision can be used in almost any sector where visual data is used and may improve efficiency and accuracy.
