iGromi vs Ignition: Universal SCADA vs Specialized AI
Ignition is the world's best SCADA. But for Computer Vision and complex OEE, you need a specialized tool. Discover why integrating them (via MQTT) is the winning strategy.
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The Engineers' Favorite Tool (and its Limits) #
Ignition by Inductive Automation has revolutionized the industry. It is the "Swiss Army Knife" of SCADA: web-based, unlimited licensing, Python scripting. At iGromi we love it and use it frequently.
But using a Swiss Army Knife to cut down a 1-meter diameter tree is... inefficient. This is where the difference lies between a Generalist Platform (SCADA) and a Specialized Solution (AI/Vision).
🤔 The Integrator's Dilemma:
"I can build a vision system in Ignition using Python scripts and external libraries in 3 months... or I can install iGromi in 1 day."
The question isn't if you CAN do it in Ignition. It's if you SHOULD.
🎯 Quick Verdict
- Use Ignition for: Machine HMI, process control (PLC), tag historization, general plant dashboards, MQTT bridge.
- Use iGromi for: Computer Vision (counting/QA), complex OEE with automatic cause detection, Predictive Maintenance (vibration).
- Better Together: iGromi processes the AI and sends only the final result ("Box OK") to Ignition via MQTT.
Technical Comparison: "Build vs Buy" #
Ignition is a development platform (Build). iGromi is a finished product (Buy).
| Feature | Ignition (SCADA) | iGromi (AI Solutions) |
|---|---|---|
| Computer Vision | Not native (requires third-party modules or complex Python scripts) | Native (Pre-trained YOLO/CNN models) |
| OEE Calculation | You must program logic from scratch (scripts, tags, DB) | Pre-built (ISO 22400 standard) |
| Hardware Required | Central Server (Windows/Linux) | Edge Device (Jetson/Rpi/NUC) on machine |
| Implementation Time | 2-4 months (custom dev) | 1-3 days (configuration) |
| Code Maintenance | High (you own your bugs) | Zero (SaaS/Product updates included) |
Abandona el Licenciamiento Abusivo
Descubre por qué iGromi OS es la alternativa superior a los sistemas SCADA y MES heredados de la industria.
The New Standard: Edge AI
The industry no longer buys expensive per-tag licences or depends on slow clouds. Modern plants process data locally at < 5ms with full autonomy, even with no internet.
View Architecture MatrixCost Analysis (TCO) #
Many fall into the license cost trap. "We already paid for Ignition, so building this is free." False. The cost is ENGINEERING time.
Option A: Build in Ignition
- • Ignition License: $0 (existing)
- • Vision/CV Module (Third party): $3,500
- • Hardware Cams + PC: $2,000
- • Engineering (300 hours x $60): $18,000
- • Testing and Debugging: $5,000
Total: $28,500 + 4 months
Option B: Use iGromi
- • Edge AI Hardware (Included): $1,500
- • Setup Fee: $2,000
- • Client Engineering: $0
- • Annual iGromi License: $3,000
Total Year 1: $6,500 + 3 days
Integration Architecture (Best of Both Worlds) #
You don't have to choose. Ignition is the best SCADA in the world. iGromi is the best Vision/AI solution for SMEs. Make them talk.
Protocol: MQTT Sparkplug B
iGromi acts as an Edge Node. Ignition acts as the SCADA Host.
Topic: spBv1.0/Group1/DCMD/Bottling_Line/AI_Camera
Payload: (JSON)
{
"timestamp": 1735689000,
"metrics": [
{"name": "Bottles_OK", "value": 4502},
{"name": "Bottles_NG", "value": 12},
{"name": "Last_Fault", "value": "Missing_Label"},
{"name": "Current_OEE", "value": 87.5}
]
}
Result: On your Ignition screen, you see the camera data as if they were native PLC tags. You can graph them, alarm them, and save them to SQL without writing a single line of Python code.
Conclusion #
If you are an Ignition integrator, stop reinventing the wheel programming neural networks in Jython. It's expensive, slow, and hard to maintain.
Use iGromi as a "Super Smart Sensor" that injects clean data into your Ignition ecosystem. Your client gets a more robust system and you finish the project in a fraction of the time.
"True engineering isn't building everything yourself. It's knowing what to build and what to buy to deliver value fast."
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Sobre el Autor
Head of Engineering & CEOVíctor Ruz
Ingeniero Civil con +10 años en automatización industrial. Habla el idioma de los PLCs y los robots como lengua materna. Integra tecnologías OT con sistemas modernos y ha liderado la implementación de sistemas MES en más de 50 plantas en Latam.
