A global manufacturing company needed to improve its quality control processes and reduce downtime caused by unexpected equipment failures. The challenge was to implement a scalable solution that could detect product defects in real-time and predict maintenance needs for machinery, thus optimizing production efficiency and reducing operational costs.
Objectways provided a cutting-edge AI and data annotation solution tailored to the manufacturing industry, focusing on quality control and predictive maintenance:
With Objectways’ AI-powered quality control and predictive maintenance solutions, the client saw significant improvements in production efficiency and product quality. Automated defect detection reduced manual inspections by 80%, leading to faster production times. Additionally, predictive maintenance reduced unplanned equipment downtime by 30%, cutting maintenance costs and minimizing disruptions to the production process.
Labeling images of products to identify defects such as cracks, dents, and surface imperfections.
Train models that can automatically detect and classify defects, before customers do.
Annotating sensor data (vibration, temperature, sound) to indicate normal and faulty states of machinery.
Optimize your maintenance schedule by predicting equipment failures and scheduling maintenance proactively, reducing downtime and costs.
Annotating images and videos to teach robots how to perform specific tasks, such as picking and placing objects.
Enhance the precision and efficiency of robotic operations.
Labeling data related to inventory levels, locations, and movements within your warehouse or factory.
Improve inventory tracking and management, optimize stock levels, and reduce the risk of stockouts or overstocking.
Annotating video feeds to detect unsafe behaviors or conditions, such as the presence of workers in hazardous zones.
Enhance workplace safety by alerting workers and supervisors to potential dangers, preventing accidents, and ensuring compliance with safety regulations.
Labeling data on raw material quality, supplier performance, and logistics.
Optimize your supply chain by ensuring improvement, cost reduction, and consistent quality.
Annotating data on energy usage across different machines and processes.
Identify patterns and opportunities for reducing energy consumption and costs.
Annotating 3D models for use in computer-aided design (CAD) and manufacturing (CAM) software.
To enhance the accuracy and usability of 3D models in manufacturing processes
Labeling images of packaging to verify correct labeling, barcodes, and branding.
To ensure that products are correctly packaged and labeled before distribution.
Annotating data to customize production lines for different product variants and specifications.
To enable flexible manufacturing that can quickly adapt to changing product demands.
Labeling environmental data (e.g., emissions, waste) to monitor the impact of manufacturing processes.
To ensure compliance with environmental regulations and reduce the ecological footprint of manufacturing operations.