INOWISE.IO combines IoT infrastructure with Artificial Intelligence to transform raw sensor and camera data into actionable insights. By integrating real-time monitoring, predictive analytics, and Edge AI processing, the platform enables companies to detect irregularities, optimize operations, and ensure safety and quality across assets and environments.
Our AI capabilities extend across camera systems, vibration sensors, and acoustic monitoring — delivering immediate insights where they matter most.
AI Camera Recognition for Public Space Monitoring
AI-powered camera systems integrated into INOWISE.IO enable intelligent monitoring of public and industrial spaces.
Key Capabilities:
Using advanced image recognition algorithms, cameras detect anomalies, safety risks, crowd patterns, or restricted access violations. Data is processed in real time and visualized within the customizable INOWISE.IO dashboard or Digital Twin map.
- Real-time image recognition
- Detection of unusual behavior or events
- Automated alerts when predefined thresholds are exceeded
- Integration into 2D/3D Digital Twin environments
- Centralized dashboard visualization
Benefits:
- Improved public safety
- Faster response times
- Reduced manual supervision
- Data-driven urban and facility management
AI Camera Quality Control for Products
INOWISE.IO enables automated quality inspection using AI-enhanced camera systems in manufacturing and production environments.
Real-time cameras identify anomalies and deviations in product processes using Artificial Intelligence. The system compares live production data against defined quality standards and automatically flags defective products.
What It Detects:
- Surface defects
- Shape deviations
- Assembly errors
- Color inconsistencies
- Packaging anomalies
Benefits:
- Reduced scrap rate
- Faster inspection cycles
- Consistent quality control
- Lower operational costs
- Improved production efficiency
- All inspection data is stored and analyzed
Noise Sensors for Irregularity Detection
Acoustic analysis is a powerful method for identifying operational abnormalities.
AI-powered pattern recognition detects deviations from normal acoustic baselines and triggers instant alerts. This is particularly valuable in industrial facilities, smart buildings, and infrastructure monitoring.
Capabilities
- Mechanical wear
- Equipment malfunction
- Structural issues
- Environmental anomalies
Benefits:
- Improved workplace safety
- Early anomaly detection
- Non-invasive monitoring
- Reduced downtime
Noise analytics can be combined with other sensor data for enhanced predictive maintenance strategies.
Vibration Sensors with Edge AI for Predictive Maintenance
INOWISE.IO uses vibration sensors enhanced with Artificial Intelligence to detect irregular vibration patterns in machines, motors, pumps, or any technical asset with moving parts.
Edge AI enables local processing directly at the sensor or gateway level, reducing latency and ensuring rapid anomaly detection.
What It Enables:
- Detection of imbalance
- Bearing wear identification
- Misalignment recognition
- Structural fatigue detection
- Prevention of unexpected failures
Benefits:
- Lower maintenance costs
- Minimize downtime
- Extend asset lifespan
- Reduce environmental impact
- Improve operational safety
Fully Integrated Within the INOWISE.IO Ecosystem
All AI features are seamlessly integrated into the INOWISE.IO live asset management platform.
The system offers:
- Real-time customizable dashboards
- Interactive 2D/3D Digital Twin visualization
- Automated alerts and rule-based actions
- GPS and asset tracking integration
- MQTT support
- Role-based access control
- Cloud or on-premise deployment
- Scalable Docker-based architecture
AI insights are embedded into a comprehensive IIoT ecosystem designed for scalability, flexibility, and enterprise-grade performance.