Computer Vision Solutions
Get
Next Generation Factory Efficiency Gains
AI teleports analysis into a new dimension
PowerArena AI technology makes it quick and easy to implement assembly line analysis, time study and motion study for root cause analysis.
Our tech lets industrial engineer quickly identify bottlenecks and propose improvements for lean six sigma or other initiatives.
PowerArena smart manufacturing technology collects shop floor data with cameras and applies deep learning analysis to deliver real-time insights for improving productivity and quality.
Traditional approach |
PowerArena enhanced |
|
Monitoring | MonitoringManual observations from the line manager | MonitoringAutomatic feedback from cameras and AI analysis |
Measuring cycle time for each step | Measuring cycle time for each stepManual motion studies | Measuring cycle time for each stepAutomated through AI video analysis |
Data point availability | Data point availability15-30 minutes per assembly line per month | Data point availability24x7 |
Analysis lead time | Analysis lead time3-5 days | Analysis lead timeReal-time |
Data quality | Data qualityLimited by human observation | Data qualityUnbiased because data is collected over a long period of time |
AI Line Balancing
AI Line Balancing
Improved line balancing
All lines produce a series of waste from excess production to idle time. Leveling production ensures that we do not produce unnecessary costs for factories.
PowerArena analyses worker operations in real time to analyze uneven cycle times. This allows industrial engineers to respond immediately to issues of waste caused by demand fluctuation, equipment malfunction, or inefficient motions.
AI SOP Assistance
AI SOP Assistance
Assist operators with SOP compliance
Operators in high mix/low volume lines need to switch products and the corresponding Standard Operation Procedures multiple times a day.
It’s easy to lose track of the SOPs. SOPAssistant nudges operators and helps them consistently produce high quality products.
Downtime Analysis
Downtime Analysis
Reduce downtime
One of the keys in lean manufacturing is to reduce waste, and if a machine is idle for a long time, factories would want to understand why.
Through conducting root cause analysis, we can identify downtime bottleneck and further prevent and solve potential problems
From setting up the machine learning applications in production lines and creating a useful dashboard, to receiving alerts and performing root cause analysis.
Got totally unique operations?
PowerArena’s easy-to-train AI quickly delivers efficiency and value.