Right4WTM
Deviation Sign Prediction System
ISE provides RIght4W, the deviation sign prediction system based on resilience engineering.
Why Right4W in the VUCA era?
Right4W is a solution service based on resilience engineering
Up until now, we’ve focused on eliminating errors. In today’s world where unexpected events occur frequently, the resilience engineering approach is effective. Right4W focuses on why things usually work well and how to maintain success even under unexpected circumstances.
Right4W
Enhancing Workplace Stability and Consistent Performance through a Resilience-Driven Approach
Right4W sustains workplace success and stability.
- Preventive safety for protecting employees
- Reducing occupational accident risks
- Supporting long-term retention of valuable staff
Right4W’s 4 Functions and the 4 Abilities That Enhance Workplace Resilience
Learn more about the 4 abilities of resilience.
1 Recognize: Standard-Operation Maintenance
enhances Monitoring capability
AI recognizes worker motions in real time and overlays past standard motions as a semi-transparent guide to help maintain standard operations.
- Analyzes continuous workflow tendencies
- Detects deviation trends before thresholds are exceeded
- Provides subtle cues even during busy work
- Avoids “command-style” alerts that reduce focus
- Uses cognitive psychology & nudging to support awareness
2 Resume: Work Resumption Support
enhances Responding capability
When unintended interruptions occur (tool replacement, material replenishment, voice calls, etc.), AI stores a short video clip of the immediate context and displays it upon return, enabling accurate and quick work resumption.
- AI records continuous work
- When a target leaves the frame or a gesture is detected, the system replays the last few seconds
- Allows workers to instantly recognize where and how to resume
- Prevents omissions and misalignment at restart points
3 Review: Work Highlight Extraction
enhances Learning capability
AI extracts video segments showing meaningful motion changes to support team review. Teams can identify successful flow, clever adjustments, and good practices, enhancing learning and improvement.
- Automatically extracts short highlight videos
- Supports timelapse & multi-view playback
- Enables fast review, team learning, and workflow improvement
4 Reveal: Early-Sign Visualization
enhances Anticipating capability
AI monitors the workplace to detect subtle deviations from the “normal model” that it learns over time. Helps discover areas for improvement by capturing signs that are hard to notice.
- Edge-AI records typical operations over a period
- Learns “normal workflow models”
- Detects anomalies without needing predefined error patterns
- Captures both “something feels wrong” and “something is going unusually well”
- Enables proactive risk mitigation and potential-capability discovery
Overview of Right4W
Right4W uses edge AI cameras to assess the situation and provide appropriate information, making it possible to notice discrepancies, interruptions, and ambiguity in work, and to turn successful processes into learnings, thereby maintaining successful experiences on site.
How Right4W Differs from Conventional AI Anomaly Detection
Right4W is Normal-Deviation Detection, Not Just Anomaly Detection
General Solutions
Alert-based detection that relies on predefined NG patterns, requires prior learning of abnormal cases, and cannot handle unknown anomalies.
Right4W
- Learns what “successful flow” looks like in each workplace
- Detects deviation from normal, not just predefined anomalies
- Can detect unknown anomalies, not only known ones
Right4W detects deviation trends rather than waiting until thresholds are exceeded
General Solutions
Alerts when thresholds are exceeded.
Right4W
When deviations from the appropriate range become apparent, give awarenessand correct course.