🧠 AI & Automation Ready
Smarter processes. Faster outcomes. Zero guesswork
Use edge computing to process data instantly on the device
Apply machine learning models for prediction and optimization
Trigger automation workflows (like irrigation, cooling, or alerts)
Continuously learn and adapt to changing conditions
Sync insights to dashboards and mobile apps for full visibility
1. Instant On-Device Processing ⚙️📟
- Utilizes Edge Computing to process sensor data locally
- Ensures ultra-low latency ⏱️ – no need to wait for cloud responses
- Works even offline or in low-connectivity areas 🌐🚫
2. Machine Learning at the Edge 🤖📊
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Deploys ML models directly on the device (TinyML, TensorFlow Lite)
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Predicts events like:
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🌧️ Rainfall/Soil moisture thresholds
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🌡️ Temperature anomalies
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🪴 Crop health or equipment failure
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Supports real-time optimization (e.g., power usage, water flow)
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3.Automation Workflows 🔁⚡
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Triggers automated actions based on sensor + ML data:
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💧 Start/stop irrigation
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🧊 Activate cooling or ventilation
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🔔 Send alerts via SMS/Push/Email
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Fully customizable logic (via rules engine or app)
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4. Seamless Integration 🔌🧩
- Continuously adapts to environmental patterns
- Uses feedback loops to improve predictions
- Can update its ML model over time via OTA 📡
5. Insight Sync & Visibility 📱📊
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Syncs data + AI insights to:
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🌐 Cloud dashboards (Grafana, Firebase, AWS IoT)
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📲 Mobile apps (iOS/Android)
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Provides full visibility and historical trends
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Shareable reports, visual alerts, and real-time analytics 🧾📈
We’re Professional
Our Key Advantages of Tasneo
| Feature | Benefit |
|---|---|
| 🧠 Onboard AI | Real-time decisions without cloud delay |
| 🔁 Self-Learning Models | Improves accuracy over time |
| ⚙️ Workflow Automation | Automatically triggers responses/actions |
| 📊 Predictive Analytics | Avoids failures with proactive alerts |
| 📡 Seamless Integration | Works with APIs, dashboards, and control systems |
We Are Available For Any Projects
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