Edge computing means performing data processing and analysis locally—on or near the machine—rather than sending all data to a remote server or cloud.
In SMT factories, this allows real-time monitoring, faster reactions, and smarter decision-making at the equipment level.
Each SMT machine—such as pick-and-place machines, AOI systems, reflow ovens, and feeders—is equipped with sensors and processors.
Equipment sends raw data to a remote server (e.g., cloud).
The server processes the data and sends back analysis or commands.
Data is analyzed locally at the edge (on-device or at a nearby gateway).
Issues are detected and handled in real-time, without needing the cloud.
| Scenario | What Edge Monitoring Enables |
|---|---|
| AOI Inspection | Detects missing or misaligned components instantly, reducing defective products |
| Reflow Oven Control | Monitors temperature in real time; adjusts settings instantly to ensure soldering quality |
| Feeder System | Tracks motor current and feeding speed; predicts jamming or motor failure in advance |
| Full Production Line | Edge gateways connect multiple machines to coordinate actions and prevent cascading errors |
| Benefit | Description |
|---|---|
| Low Latency | Fast local response (within milliseconds) |
| Data Security | Sensitive data stays on-site, minimizing external transmission |
| Reduced Bandwidth | Only necessary insights are sent to the cloud |
| AI at the Edge | Supports local deployment of AI for predictive maintenance, quality control, etc. |
Edge computing monitoring in SMT means putting the “brain” right on the production floor—so machines can think, react, and optimize in real time.
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Edge computing means performing data processing and analysis locally—on or near the machine—rather than sending all data to a remote server or cloud.
In SMT factories, this allows real-time monitoring, faster reactions, and smarter decision-making at the equipment level.
Each SMT machine—such as pick-and-place machines, AOI systems, reflow ovens, and feeders—is equipped with sensors and processors.
Equipment sends raw data to a remote server (e.g., cloud).
The server processes the data and sends back analysis or commands.
Data is analyzed locally at the edge (on-device or at a nearby gateway).
Issues are detected and handled in real-time, without needing the cloud.
| Scenario | What Edge Monitoring Enables |
|---|---|
| AOI Inspection | Detects missing or misaligned components instantly, reducing defective products |
| Reflow Oven Control | Monitors temperature in real time; adjusts settings instantly to ensure soldering quality |
| Feeder System | Tracks motor current and feeding speed; predicts jamming or motor failure in advance |
| Full Production Line | Edge gateways connect multiple machines to coordinate actions and prevent cascading errors |
| Benefit | Description |
|---|---|
| Low Latency | Fast local response (within milliseconds) |
| Data Security | Sensitive data stays on-site, minimizing external transmission |
| Reduced Bandwidth | Only necessary insights are sent to the cloud |
| AI at the Edge | Supports local deployment of AI for predictive maintenance, quality control, etc. |
Edge computing monitoring in SMT means putting the “brain” right on the production floor—so machines can think, react, and optimize in real time.
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