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

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.

Shift gears towards AI revolution today