Computer vision AI for Robotics and Manufacturing applications
Teach your computer vision model to recognize objects on an assembly line.
Robotics and manufacturing automation
Keymakr is providing Computer Vision annotation for manufacturing with highly accurate training and validation data.
The development of artificial intelligence for robotics promises to transform a wide range of industries. This technology will increase manufacturing efficiency, improve quality control, and promote safety on the production line. Our cutting edge annotation platform and experienced teams of annotators can support innovative machine learning projects with precise, varied, and scalable annotation services.
Image annotation for quality control and defects detection.
- High-quality image and video annotation helps machine vision increase inspection rates without sacrificing accuracy.
- Properly trained cameras can consistently spot the slightest manufacturing defects missed by human eye.
- Computer vision has the capacity to transform quality control processes in factories across the world. By automating defect detection manufacturers can make significant gains in cost efficiency and customer satisfaction.
There are multiple use cases for image and video labeling in automation and robotics.
The applications of AI for robotics and manufacturing are as varied as they are exciting. Keymakr can support the development of this technology in any environment thanks to our annotation experience, skilled in-house teams, and unique annotation tools.
- Object detection
- Environmental sensing
- Inventory and logistics
- Inventory sorting
- Quality control
- Predictive maintenance
- Waste management
The ability of highly functional industrial robots to recognize the objects and map their path without hitting an obstacles and wrecking a havoc comes with carefully annotated datasets of images and videos in 2D and 3D dimensions that we can create for your specific project needs.
Video annotation allows a computer vision model to recognize objects in its environment and interact with them or avoid them as necessary. This technology has the potential to greatly improve safety on the production line and increase the efficiency of manufacturing operations.
Identify and perform necessary equipment maintenance before breakdowns happen. Analyzing and labeling visual data of equipment parts and wear-and-tear help machine vision recognize the problem beforehand.
Teach your system to effectively maintain your warehouse storage space and report on misplacements or suboptimal space usage. This can be done by analyzing and labeling visual data from your warehouse cameras.
Inventory handling and sorting
Precise image annotation is supporting the development of AI for inventory management. These robots can automate the sorting of a wide variety of objects and materials. By annotating images of inventory for training datasets Keymakr can help this promising technology to reach its full potential.
Robotics are actively emerging in such industries as waste management allowing to avoid potentially dangerous situations and hazardous conditions for humans.
In order to effectively sort the waste and identify recycling materials, industrial robots will need a carefully prepared dataset with manual annotation and classification of different waste types.
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