Anomaly detection for
the automotive industry
Provide predictive maintenance using AI
Current overview
Technology today empowers automotive companies with access to analytics and cognitive systems that can detect and predict anomalies and transforms data from components and systems into valuable insights.
Automotive manufacturers heavily rely on these insights and predictions to increase the reliability of their automobiles and offer value-added services to customers. AI-enabled anomaly detection extends quality assurance beyond factory doors.
"Automotive business can save up to 10% on maintenance costs — which is the same as if it increases its benefit by 40%."
SPD Group
Key challenges & objectives
in automative industry
01
Reactive equipment maintenance
02
Unplanned maintenance and stoppages
03
Technical equipment failures
04
Reduce maintenance costs
05
Increase time-to-repair
06
Ensure delivery standards
Brainalyzed Insight for anomaly detection in automotive industry
REDUCE UNPLANNED PRODUCTION STOPPAGE
Unplanned downtime in a factory can cost as much as $20,000 per minute. Using Brainalyzed Insight’s artificial swarm intelligence platform, you can predict system failures accurately in advance. This increases machine availability, improves productivity, and reduces downtime.
IDENTIFY ANOMALIES BY ANALYZING SENSOR DATA
Swift analysis of sensor data such as MPH, MPG, RPM, oil pressure, water temperature, engine temperature, tire wear, etc. allows you to flag anomalies and take preventive measures.
SWITCH TO PROACTIVE MAINTENANCE STRATEGIES
Most manufacturers spend 40% of their time on reactive maintenance, 45% on preventive maintenance, and only 15% on proactive maintenance strategies. Using AI you can identify unplanned machine breakdowns and proactively take corrective actions.