Data Annotation for Manufacturing & ConstructionMachine learning is transforming manufacturing and construction workplaces, enabling companies to operate more safely and efficiently than ever before. The foundation of these AI-powered advances is data labeling, which allows companies to train computer vision models to identify hazards, safety noncompliance, and assembly errors.
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The Manufacturing & Construction Industry
Global companies turn to Alegion to provide high-quality training data. Data annotation for machine learning plays a crucial role in the manufacturing and construction industries. It enables the extraction of valuable insights from various types of data. This process of annotating and categorizing data to train AI and machine learning models has several impactful use cases:
- Quality Control and Defect Detection: Annotated images and data on product flaws teach AI to identify defects in real-time in a manufacturing process. It improves quality control and reduces defect rates.
- Predictive Maintenance: Annotated sensors and equipment data are used to predict when machinery or equipment might fail. This improves preventive maintenance, minimizing downtime and disruptions.
- Supply Chain Optimization: Annotated data about inventory levels, supplier performance, and transportation routes can be used to optimize supply chain operations, reduce costs, and ensure timely deliveries.
- Site Safety and Compliance Monitoring: Companies use AI-labeled sensor and camera data to monitor construction site safety and identify potential hazards. It ensures compliance with safety regulations.
- Construction Progress Tracking: Annotated construction site images are used to track progress, compare it against schedules, and identify potential project delays.
Accurate annotation helps optimize resource consumption, minimize waste, and ensures compliance with safety regulations. We guarantee the accuracy needed for your project at a reasonable cost.
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A.I. Use Cases in Manufacturing & Construction
With Alegion's Accurate Data Annotation
We help launch machine learning initiatives by training models to recognize important objects, subjects, and patterns. For one use case, Alegion provided training data that labeled 17 skeletal key points of a person on the automotive manufacturing floor. But there are other different types of data:
Image & Video
We mark defects, highlight safety hazards, or identify specific objects by annotating images and videos from manufacturing processes and construction sites.
Annotations are applied to sensor data such as temperature, pressure, vibration, and other measurements that can be used for predictive maintenance and quality control.
In construction, geospatial data is annotated to create maps, site plans, and layouts. This tracks progress and manages resources.
Annotations can also involve text data, such as annotating documents, reports, and logs for insights related to supply chain management, safety compliance, and more.
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For the Manufacturing & Construction Industry
Alegion’s data labeling strategy helped increase a customer’s model accuracy by 70%, augmenting the model’s human pose public dataset and capturing the complexity