Choose the annotation type that suits the needs of your project best, alternatively we can create a completely new annotation type based on your
Computer vision models are increasingly being deployed to manage waste and recycling systems. This vital artificial intelligence technology can increase the efficiency of
waste management, keep workers safe from harmful materials, and protect the environment. Keymakr is helping to power this revolution in machine learning by creating
high quality training datasets for innovators in the field.
Waste Management AI Image Recognition
Waste management and recycling have become important topics in a world of plastic pollution.
Teach your computer vision model to recognize types of waste and identify what can be recycled.
MANAGEMENT OF MEDICAL AND BIOHAZARD WASTE
When it comes to handling medical and biohazard waste processing extra protection and caution is vital. That’s where industrial robotics comes into play. Modern robotics systems can sort dangerous objects such as sharp or toxic materials without human intervention. With the help of our datasets you can teach your AI to recognize such objects and take actions accordingly.
Image annotation using image segmentation techniques helps AI models to distinguish between different materials, allowing them to spot potential dangerous ones and provide early warning to human operators.
Most paper, plastic, glass, metal containers and packaging have recycle type markings. For example, "1-PETE, 2-HDPE, 3-V, 4-LDPE, 5-PP, 6-PS, 7-Other" for plastic containers. We are able to annotate each specific marking type and help your computer vision categorize the waste according to these symbols.
AI for smart recycling can revolutionize the speed and efficiency of recycling processes, ensuring that less waste finds its way to the landfill. Our teams of annotators, overseen by experienced managers, are capable of producing precisely labeled marking annotation at scales that suit your project.
AERIAL ANNOTATION FOR WASTE MANAGEMENT
We annotate drone footage, images and videos of landfills to find specific waste types. If your project involves searching for plastic waste in the ocean or remote locations, there is no better way to do it than with drone or satellite imaging. Keymakr specializes in annotating videos taken in different weather and light conditions.
The time consuming and labour intensive nature of video annotation can be prohibitive for many AI companies. Keymakr can help relieve this burden. Our unique annotation platform shares video labeling tasks so that they are accomplished accurately, and on time.
WASTE CATEGORIZATION FOR SORTING FACILITIES
Our image annotation and labeling for waste management is designed to help your sorting facility to work better and be more efficient. Computer vision models based on our annotated data can be implemented to sort waste and make human labour easier and faster with the help of industrial robotics.
Our quality control processes ensure that the images and videos in your training datasets will improve the performance of your model. Keymakr supports your robotic waste sorter project by employing three layers of human verification, and an additional layer of script based verification.
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