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.
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.
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.
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.
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.
Gather valuable business insights from images, data and text using machine learning, image recognition and computer vision.
Identify vehicles in photo and video data. Returns a class, "vehicle," along with bounding boxes and probability scores.
Identify people in photo and video data. Return one class: "people" along with bounding boxes and probability scores.
Identify the most important objects in many street scenes, security camera streams, and municipal data sources: people and vehicles.
Recognizes over 11,000 different concepts including objects, themes and moods.
Analyze images and returns numerical vectors that represent the input images in a 1024-dimensional space.
Identify unwanted content in user generated images and video content including gore, drugs, or explicit or suggestive nudity.
Detect toxic, obscene, racist or threatening language in user reviews, social media posts or other user generated text data.
Assign tags or any custom concept to analyze text based on its contents. Build accurate models for topic and sentiment analysis and smart reply.
Gain insights in to your customer segments such as age, gender and ethnic presentation.
Detect the presence of human faces with bounding boxes.
Recognize specific features of residential, hotel and travel-related properties.
Recognize over 400 concepts related to weddings including bride, groom, flowers and more.
Recognize more than 1,000 food items in images down to the ingredient level.
Acquire and apply knowledge for recognizing textures/patterns in a two-dimensional image.
Recognize clothing, accessories and other fashion related items.
Analyze images and returns numerical vectors that represent each detected face in the image in a 1024-dimensional space.
Identify different levels of nudity in visual content.
Identify the colors dominant in your media in Hex or W3C form.
Analyze images and returns probability scores on the likelihood that the media contains the face(s) of over 10,000 recognized celebrities.
Create your own custom model and teach it with your own images.
Explore our pre-built, ready-to-use image recognition models to suit your specific needs.