Artificial intelligence (AI) is exhibiting proficient abilities in processing digital imagery for better value generation. [Computer vision services](https://artificialintelligence.oodles.io/computer-vision-service/ "Computer vision services") are...
Artificial intelligence (AI) is exhibiting proficient abilities in processing digital imagery for better value generation. Computer vision services are the force behind machine learning models to extract actionable insights from large business datasets and documents. Azure computer vision is one of the AI technologies under Microsoft’s Cognitive Services that encompasses in-depth image and video analysis. The dynamic features of Azure APIs enable multiple industry businesses to automate operations and accelerate productivity by channelizing unstructured data significantly.
Let’s explore how the logistics and healthcare industry can deploy several Azure computer vision APIs to propel growth.
Azure Computer Vision | Features and Functions
Microsoft Azure’s cloud-based computer vision API facilitates the deployment of machine learning algorithms to process complex images and extract valuable insights. The cognitive features of Azure’s Analyze Image API include the following-
Tag visual features to identify and tag visual features in an image such as objects, living things, actions, etc.
Detect objects and faces, for example, detect a dog, cat, or person and also process their relationship.
Detect commercial brands in images or videos from a large dataset of logos.
Categorize an image based on the different conditions and parameters.
Describe an image in human-readable language with complete sentences. The API can also identify the specific color schema of the image.
Detect domain-specific content in images such as celebrities and landmarks.
Optical Character Recognition to extract and assess the text from an image.
azure computer vision services
The function-specific machine learning algorithms underlying Azure computer vision API provide effective results when trained with the right data.
Let’s explore different Azure computer vision applications in the logistics and healthcare industry.
Streamlining Supply Chain Management in Logistics
The logistics industry is responsible to acquire, store, and transport goods and services from their origin to the respective destinations. Clearly, accessibility, accuracy, and quality are the essential nuts and bolts of the logistics industry.
The network-based nature of the logistics industry is enabling businesses to introduce AI-powered automation in supply chain management effectively. AI’s computer vision technology has the potential to fulfill the physical demands of various logistics operations by processing real-time data. With a combination of computer vision and machine learning algorithms, logistics businesses can augment the capabilities of their workforce in the following manner-
a) Inventory and Safety Management
Azure computer vision offers real-time warehouse inventory management by deploying surveillance cameras to track product placement and detect anomalies. Automated drones can scan warehouse premises to ensure safety by monitoring pick and pack tasks and raising alerts for accidental risks.
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The cognitive advancements in artificial intelligence are strengthening computer vision beyond human intelligence. Today, [computer vision services](https://artificialintelligence.oodles.io/computer-vision-service/ "computer vision services") are...
The cognitive advancements in artificial intelligence are strengthening computer vision beyond human intelligence. Today, computer vision services are invading key business operations such as marketing, advertising, and customer services to deliver impactful insights and experience. It is, therefore, essential for emerging business ventures to capture the light of computer vision for achieving augmented business intelligence.
This blog post explores some effective computer vision developments and related business applications.
Here’s how computer vision is evolving within the digital business landscape-
a) With massive data inputs, computer vision systems can now detect more objects per image with better accuracy and precision.
b) Consumer brands are tracking the effectiveness of their online campaigns by detecting and monitoring brand logos, images, and videos of interest.
computer vision services
c) Also, computer vision services can generate significant insights and brand influencer metrics from campaign images and videos. The expanded tagging capabilities of computer vision enable SMBs to identify and classify objects without heavily investing in extensive machine learning models.
computer vision tagging
Related- The Transformative Power of Computer Vision Across Industries
a) Automating healthcare report analysis
b) Strengthening security
c) Inspecting manufactured products for defects
d) Guiding automobiles by identifying people and traffic signals
In addition, the media and entertainment industry are experimenting with facial gesture recognition techniques to power gaming instructions and in-app activities.
Related- 5 Facial Recognition Trends and Market Predictions 2019
How does Oodles AI use computer vision to reinvent business operations?
We, at Oodles, combine various facial recognition applications such as human-computer interaction, behavior analysis, and teleconferencing to build CV systems. Our experiential knowledge in producing deep video analytics solutions has optimized the workflows of global businesses in the following manner-
a) Automated attendance systems using facial recognition techniques, CNN and histogram of oriented gradients (HOG) models for securing corporate infrastructures.
b) Real-time object detection and video analytics with over 80% accuracy in distinguishing anomalies and defects for manufacturing businesses.
c) Extensive image tagging and content management for dynamic digital marketing.
a) Binary Classification– Answering queries regarding the placement of objects in an image
b) Tally– Counting the number of specific subjects or objects
c) Open-ended questions– Inferring the object’s spatial and contextual information
Data analysts are exploring the potential business applications of VQA in managing product-related queries, detailing product specifications, and real-time traffic updates. Its impact on business operations and customer services is poised to spiral customer satisfaction and business development.
Also read- Improving Business Operations | 5 Applications of Facial Recognition Technology
Exploring Computer Vision services with Oodles AI
Artificial intelligence is entering diverse business verticals to influence productivity and profitability in a futuristic manner. We, at Oodles, are empowering global businesses with AI and it’s underlying technologies like facial recognition, Natural language processing, predictive analytics and more. We are adept at building data-driven machine learning models that extract key business insights from unstructured data, graphics, videos, and other web content.
Talk to our AI development team to know more about our artificial intelligence services.
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