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.
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.