Manufacturing

With rapid developments in many different areas including imaging techniques; CMOS sensors; embedded vision; machine and deep learning; robot interfaces; data transmission standards and image processing capabilities, vision technology can benefit the manufacturing industry at many different levels. Machine vision already makes an important contribution to the manufacturing sector, primarily by providing automated inspection capabilities as part of QC procedures, reading of barcodes, defect reduction, improving safety, tracking and tracing.

Machine Learning

Improve productivity by automating repetitive tasks. Driving cost with technology.

Industry 4.0

Reduce unplanned downtime with 24/7 predictive maintenance


Predictive Maintenance

Reduce unplanned downtime with 24/7 predictive maintenance.


In manufacturing, plant operators are tackling unplanned machine downtime by migrating from preventive maintenance to predictive maintenance. Unlike preventive maintenance, which is performed according to a schedule that reflects historical events, predictive maintenance monitors asset condition in real time and prompts interventions before failures disrupt production. Advances in sensors, analytics, and communication technologies are making predictive maintenance increasingly practical and affordable for small, medium, and large manufacturing companies.

Computer Vision

Nordensol provide services for the development of customized computer vision solutions powered by ML and AI

Computer vision has many applications in manufacturing including, but not limited to, predictive analytics of machinery, quality control for products, health and safety, and accurate assembly of components. Major businesses in all locations have adopted production and management systems aided by computer vision. Mining companies use computer vision aided monitoring systems to closely monitor drilling equipment to identify defects and other damage before they can cause an accident.


QUALITY CONTROL AUTOMATION

  • Defect Detection

The quality control processes in manufacturing are a largely manual, human-run process and are time-consuming and costly to support. Computer vision uses smart cameras and analytics to streamline the QA process with more accuracy and at a lower cost.

  • Assembly Monitoring

Intelligent computer vision systems continuously monitor and prevent misconfigurations in the die assembly process. This solution differentiates manufacturers from their competition while minimizes downtime and repair costs.

PERSONAL PROTECTION EQUIPMENT MANAGEMENT

Even though manufacturers employ safety managers to make sure employees follow safety standards, violations still occur. Failure to follow proper safety protocols can result in human injury and financial penalties. AI-powered computer-vision monitors employee PPE compliance in the worksite to ensure workers are staying safe.