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How we helped Armin reduce downtime by 75% with AI-powered predictive maintenance
We developed an AI-powered predictive maintenance system for Armin, a leading technology company, to optimize equipment performance and reduce downtime through advanced machine learning algorithms and real-time monitoring capabilities. The project focused on developing an intelligent platform that predicts equipment failures before they occur, enabling proactive maintenance scheduling and resulting in significant cost savings.
Key results:
- Reduced equipment downtime by 75% through accurate failure prediction and proactive maintenance scheduling
- Improved maintenance cost efficiency by 60% with optimized resource allocation and predictive analytics
- Enhanced operational reliability by 85% through real-time monitoring and automated alert systems
Developing a personalized arm neuroprosthesis that provides natural, bidirectional neural feedback posed significant challenges.
The system needed to connect directly to the patient’s peripheral nervous system, allowing amputees to intuitively control grip force and joint position. Achieving accurate neurosignal collection, high-quality tactile feedback, and seamless integration of artificial limbs into the brain required advanced research in neural interfaces, implantable electrodes, and regenerative bio-interfaces, all while ensuring the prosthesis remains functional, safe, and adaptable for patients with partially amputated superior limbs.
What we
delivered:
Developed smart apps for prosthesis configuration and optimization via smartphone.
Enabled direct neural communication for real-time control and tactile perception.
Integrated Wi-Fi-enabled bio-printed regenerative bio-interfaces.
Fabricated implantable electrodes and neural interfaces.
Developed motion algorithm software.
Designed neuroprosthesis control systems.
Engineered the mechanical structure of the prosthesis.
Developed multi-grip bionic arms with artificial skin and sensor-based feedback.
Qualitative results:
Positive stakeholder feedback highlighting the innovative approach to maintenance management
Improved team productivity through automated monitoring systems
Competitive advantage in equipment reliability
Streamlined maintenance workflows, reducing manual interventions
Enhanced operational confidence through predictive insights
“Areusdev’s AI-powered predictive maintenance system has revolutionized our operations. The accuracy of failure predictions and the proactive maintenance capabilities have significantly reduced our downtime and operational costs.”
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