Automate inspection (EOL) by drone manufacturers
Overview
WEFLO is in the process of end-of-line inspection (EOL) of domestic drone manufacturers
We have establishedan artificial intelligence (AI)-based automatic inspection system.
Through this, the existing worker-centered manual inspection method is converted to an automated quality inspection system
It has increased inspection efficiency and consistency in quality control at the same time.
Key Impact
- Reduce inspection cycle time by 35%
- 51% improvement in inspection throughput
- Improved defect detection rate by 64.8%p
- Reduce annual inspection costs by KRW 25 million (35% ROI)
- Minimize variation in determination between operators (qualification → quantification)
- 100% digital automatic recording of inspection results
Background
In the drone manufacturing process, final inspection before shipment is a key step in ensuring the quality and safety of the aircraft.
In particular, the drone industry requires quality control similar to that of the aviation and defense sectors,
Failure to meet inspection criteria will directly affect the risk of safety accidents and the acquisition of certification.
However,many manufacturing lines still usea manual, worker-centered inspection method,
The following limitations exist.
- Inspection speed depends on worker proficiency
- Judgment deviation due to qualitative judgment
- Difficulty in systematic data accumulation of inspection results
- Increasing process burden when expanding inspection items
Accordingly, it was necessary to establish a more consistent and quantitative inspection system.
Solution
WEFLO has builtan AI-based automatic inspection system optimized for the EOL process of drone manufacturing lines.
It has automated a comprehensive inspection system that encompasses driving units, electrical units, and sensors beyond simple exterior inspection.
1️⃣ Driver inspection
- Motor open circuit/short circuit
- Blade mounting direction, balance, slip
- ESC operating frequency
- Driving rotation, response time, balancing
- Drone Arm Rescue Fatigue
2️⃣ Air condition inspection
- gas vibration frequency
- a thermal anomaly
- Battery charge/discharge status
- automatic geomagnetic calibration
3️⃣ Inspection of appearance and electrical/sensors
- Appearance defect (crack, scratch, structure change) — Vision AI automatic detection
- FCC Electronic Department Status
- Airborne sensor status
4️⃣ Automatic AI data collection and analysis
- Automatically acquire drone-coupled data
- Accumulation and analysis of data by type of defect
- Management of defect history and utilization of process improvement
This shifts the existing manual inspection process to a standardized quality inspection process,
We improved inspection efficiency and quality control at the same time.
Before vs After
AI-driven inspection automation goes beyond just speeding up inspection,
It is responsible for transforming manufacturing quality management to data-driven.
| category | Before | After (WEFLO) | improvement effect |
|---|---|---|---|
| inspection method | Worker-centric manual inspection | AI-based automatic inspection | |
| judgment criteria | qualitative judgment | Quantitative automatic determination | Ensuring consistency of judgment |
| Cycle Time | 14.2 minutes/large | 9.2 minutes/large | Reduce by 32.5% |
| Inspection Throughput | 0.7/min | 0.106/min | 48.3% improvement |
| Defect detection rate | 35% | 99.8% | +64.8%p |
| inspection records | a handwritten record | Automatic digital recording | Data-Based Quality Management |
| annual cost savings | 25 million won (ROI 35%) |
Since its introduction, manufacturers have been able to manage shipping quality standards quantitatively,
Based on the accumulated inspection data, it is possible to analyze the cause of defects and optimize the process.
WEFLO’s AI-based inspection system is being used as a key infrastructure to implement an efficient and consistent quality management system in the drone manufacturing process.
If you are curious about the introduction of the EOL inspection system, check the specific inspection items and customizable scope through a technical meeting.