• Manufacturing

    Computer Vision and AI In Manufacturing

    Use AI to reduce production costs and increase efficiency.

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Evolve your industry 4.0 strategy with Computer Vision and AI

Industry 4.0 offers the opportunity for smart manufacturers to optimize their operations quickly and efficiently by knowing what needs attention. By using data from cameras and other Edge devices, manufacturers can better manage capital assets, improve processes and systems, monitor employee safety, and improve security.

Use cases

  • Employee safety

    Analyze plant images and video against previous accident records to predict where future accidents may occur. Spot fatigued workers or people standing too close to running machine or employees without PPE. Recognize safety hazards such as spills, blocked fire exits, and unattended security posts.

  • Quality control

    Use computer vision and machine learning with cameras and Edge devices to pick up details and errors much more reliably than the human eye. When integrated with a cloud-based data processing framework, errors are instantly flagged and the response is automatically coordinated.

  • Identity verification and security

    Use computer vision and video cameras to improve security checkpoints using face recognition technology. Verify employee identity to improve safety and security by ensuring personnel are in approved and designated areas.

  • Preventive maintenance

    Build AI models to anticipate potential equipment failures before they occur. Identify equipment with the greatest risk of failing, allowing maintenance teams to respond accordingly. Proactively predict maintenance and repair cycles and replace parts proactively and extend the life of your assets.

Solution Brief

Solve complex manufacturing use cases with computer vision and AI

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Explore our ready-to-use models

  • Vehicle detector

    Identify vehicles in photo and video data. Returns a class, "vehicle," along with bounding boxes and probability scores.

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  • People detector

    Identify people in photo and video data. Return one class: "people" along with bounding boxes and probability scores.

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  • People and vehicle detector

    Identify the most important objects in many street scenes, security camera streams, and municipal data sources: people and vehicles.

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  • General

    Recognizes over 11,000 different concepts including objects, themes and moods.

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  • General embedding

    Analyze images and returns numerical vectors that represent the input images in a 1024-dimensional space.

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  • Image moderation

    Identify unwanted content in user generated images and video content including gore, drugs, or explicit or suggestive nudity.

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  • Text moderation

    Detect toxic, obscene, racist or threatening language in user reviews, social media posts or other user generated text data.

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  • Text embedding

    Assign tags or any custom concept to analyze text based on its contents. Build accurate models for topic and sentiment analysis and smart reply.

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  • Demographics model

    Gain insights in to your customer segments such as age, gender and ethnic presentation.

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  • Face detection

    Detect the presence of human faces with bounding boxes.

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  • Travel

    Recognize specific features of residential, hotel and travel-related properties.

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  • Wedding

    Recognize over 400 concepts related to weddings including bride, groom, flowers and more.

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  • Food

    Recognize more than 1,000 food items in images down to the ingredient level.

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  • Textures and patterns

    Acquire and apply knowledge for recognizing textures/patterns in a two-dimensional image.

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  • Apparel detection

    Recognize clothing, accessories and other fashion related items.

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  • Face embedding

    Analyze images and returns numerical vectors that represent each detected face in the image in a 1024-dimensional space. 

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  • Not safe for work

    Identify different levels of nudity in visual content.

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  • Color

    Identify the colors dominant in your media in Hex or W3C form.

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  • Celebrity

    Analyze images and returns probability scores on the likelihood that the media contains the face(s) of over 10,000 recognized celebrities.

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  • Custom

    Create your own custom model and teach it with your own images.

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  • Model gallery

    Explore our pre-built, ready-to-use image recognition models to suit your specific needs.

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  • Ready to get started?

    Whether you're a start-up or a Fortune 500, contact us to discuss how to enrich your data with AI assisted labeling to annotate datasets accurately, quickly and affordably.

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    If you are encountering a technical or payment issue, the customer support team will be happy to assist you.

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