Edge devices
- Sensors over TCP
- Cameras over MQTT
SenzMatica AIoT Platform
An end-to-end integrated platform
IoT Kits collect what is happening. IoT Core runs the fleet. AI Core turns that data into predictions, checks, and actions.
Edge + cloudReal-time insightsScalable AI
01IoT KitsSensors and cameras
02IoT CoreFleet and data
03AI CorePredictions and actions
SenzMate's Products Are Trusted by Leading Companies Worldwide
Architecture
SenzMatica Platform Architecture
One stack from edge kits through the device cloud to AI services — so products do not need five vendors stitched together.
Message queue
- Brokers
- Normalizers
IoT Core
- Device management
- Users and access
AI and apps
- Prediction and quality
- Dashboards and alerts
IoT Kits
Sensors and cameras, connected at the edge
IoT Kits assist you connect devices with visual and sensor input streams, capture data via wireless networks and provide intelligence to the edge while securely upgrading insights to the cloud for further processing.
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Open sourceSensors of IoT Kits
Connect with sensor and visual inputs
Open sourceIoT Data Processing
Process the raw input and identify the real world facts
PremiumPower consumption
Power estimation in multi-socket systems
PremiumSensor calibration
High performing Remote calibrations to keep data accurate
IoT Core
One core for the whole device fleet
SenzMatica IoT core focuses on every key component to manage AIoT applications with capabilities to manage millions of connected devices with a high-load, scalable architecture to derive insights from securely stored Big Data through AI, ML, and Deep Learning.
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Open sourceUser management
Dynamic access control features based on user roles.
Open sourceLoad Balancer
Manage and control millions of connected smart devices simultaneously.
PremiumRemote configuration
Connect and setup your widely dispersed IoT devices remotely.
PremiumData protection
Security-enhanced environment for sending and receiving data from IoT devices.
AI Core
Live insight from the data those devices send
AI Core processes the sensor and visual data inputs from the deployed IoT Kits and visualises the data to deliver vital real-time information for customers to uncover new opportunities. Data generated from IoT kits can be analysed using machine learning and data analytics to find patterns to extract insights.
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Open sourceIoT Data Pipeline
End to End Pipeline for Machine Learning process of real time IoT Data
Open sourceDefect detection
Auto defect detection capability in images and videos
PremiumAuto quality testing
Automated quality testing on a huge number of manufactured IoT kits
PremiumQuick IoT ML platform
Easy-to-use web-based ML platform for IoT
Now available
Open Source v1.0.0 Release
SenzMatica Device Management Module (DMS) is now open source! Start managing your IoT devices with our powerful, community-driven platform.
Product Type Module
Define reusable device blueprints for device families with expected telemetry and commands.
Device Module
Onboard and manage individual devices with product types, IDs, names and configurations.
Transcoding Module
Java-based decoders and encoders to translate device payloads to/from SenzMatica format.
Connectivity Module
Provision device credentials for HTTP(S) and MQTT connections with secure authentication.
Backend
magma-core
Core services and API
The backend repository contains the core services, API endpoints, and business logic for device management.
View RepositoryFrontend
magma-device-management-portal
Device management web interface
The frontend portal provides an intuitive web interface for managing devices, product types, and connectivity.
View RepositoryGetting Started
Supported environment and setup requirements
Operating System
- CentOS 9 (recommended)
- Rocky Linux 9
Runtime & Database
- OpenJDK 8
- Node.js v16.x
- MongoDB 5.0
Infrastructure
- VerneMQ 1.12.x
- Nginx
Licensed under Apache License 2.0
Join our open-source community! Contribute, report issues, or get involved. Contact us at info@senzmate.com
DevicePulse.AI
Keep the fleet healthy after it is deployed
Once devices are on SenzMatica, DevicePulse.AI detects, diagnoses, and helps resolve issues across the fleet.
DevicePulse.AI works with SenzMatica, Azure IoT Hub, AWS IoT, and other platforms, including REST APIs, so the same maintenance view follows the fleet.
Explore DevicePulse.AICompare
Feature Comparison Matrix
Switch layers to see which capabilities ship in Community versus Premium.
| Capability | Community | Premium |
|---|---|---|
| Connecting with sensor inputs | ||
| Computer vision based inputs | ||
| Processing the sensor raw input to identify the real world facts | ||
| Analyzing the visual raw data to discover the real world insights | ||
| Communicating with other Edges in the RF wireless network | ||
| Interacting with other Edges in the LoRa wireless network | ||
| Power optimization in the Edge | ||
| Advanced Security mechanisms in the Edge | ||
| Building Intelligence in the Edge | ||
| Communicating with cloud servers via 2G,3G, WiFi | ||
| Cloud communicating via 4G, NBioT | ||
| Basic Firmware Libraries | ||
| Premium Firware Libraries | ||
| Integration with Over the air update | ||
| Customized Circuit and PCB Design | ||
| Device Manufacturing Processes | ||
| Remote Calibration module | ||
| Getting Certification |