SenzMatica AIoT Platform
The SenzMatica AIoT Platform is an end-to-end integrated platform that lays the groundwork for seamlessly and securely integrating sensors and connecting devices. SenzMatica lets you connect billions of IoT devices and route trillions of AI possibilities to cloud services without managing infrastructure. It represents SenzMate’s commitment to increasing the viability of IoT so that its full potential can be realised globally
SenzMatica Platform Architecture
IoT Kits
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.
Features of IoT Kits
Open source
Sensors of IoT Kits
Connect with sensor and visual inputs
Open source
IoT Data Processing
Process the raw input and identify the real world facts
Open source
Device communication
Wireless networks to connect devices that continuously generate data
Premium
Power consumption
power estimation in multi-socket systems
Premium
Security intelligence
Advanced Security mechanisms to safeguard the connected devices in the Edge
Premium
IoT data analytics
Perform real-time analytics on massive amounts of IoT data
Open source
Connectivity protocols
Securely Communicate with cloud servers
Premium
Firmware libraries
Integration with Over the air update
Premium
Sensor calibration
High performing Remote calibrations to keep data accurate
IoT Core
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.
Features of IoT Core
Open source
Load Balancer
Manage and control millions of connected smart devices simultaneously.
Open source
User management
Dynamic access control features based on user roles.
Open source
Communication protocols
Data transfers between various IoT devices and servers using different protocols.
Open source
Device Management
Remotely Connect, manage and scale millions of IoT devices under a single environment.
Premium
Firmware management
Over-the-air update deployment to keep IoT devices up to date and safe.
Premium
Remote configuration settings
Connect and setup your widely dispersed IoT devices remotely.
Premium
Auto Device Quality checking
Easily and flexibly monitor all of your IoT devices in the cloud over their full life cycle.
Open source
Data Management
Real time data process, analytics for exploration and optimization.
Premium
Data protection
Security-enhanced environment for sending and receiving data from IoT devices.
AI Core
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.
Features of AI Core
Open source
IoT Data Pipeline
End to End Pipeline for Machine Learning process of real time IoT Data
Premium
Auto ML
Easily build models for IoT and deploy in our platform without any coding
Premium
Root cause Analysis
Early identification of defects and faulty conditions in IoT kits and find root cause of the issue
Open source
Time series prediction
Predict the future trends using ML and Deep Learning algorithms
Premium
Computer Vision
Processing visual data to extract information
Premium
Auto Annotation
Annotation tool for easy annotation with ML based auto suggestion
Premium
Auto quality testing
Automated quality testing on a huge number of manufactured IoT kits
Open source
Defect detection
Auto defect detection capability in images and videos
Premium
quick IoT ML platform
Easy-to-use web-based ML platform for IoT
Community Edition
Open Source AIoT Platform
Premium Edition
Advanced AIoT Platform
Feature Comparison Matrix
IoT Kits
| Feature | Community Edition | Premium Edition |
|---|---|---|
| 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 | | |
IoT Core
| Feature | Community Edition | Premium Edition |
|---|---|---|
| Manage and control millions of connected smart devices simultaneously | | |
| Dynamic access control features based on user roles | | |
| Transport data between servers and various connected devices via HTTP protocols | | |
| Data transfers between various IoT devices and servers using MQTT protocols | | |
| Real time data process, basic analytics for exploration and optimization [Eg : Anomalies] | | |
| Real-time failure prediction using deep analytics | | |
| Remote configuration settings on connected devices | | |
| Over-the-air update deployment | | |
| Real time sensor data streaming on IoT data | | |
| Visual data streaming in real time on IoT data | | |
| Bulk Data analytic framework | | |
| Basic Security for sending and receiving data from IoT devices | | |
| AES Encryption, SSL intregrated security-enhanced enviornment for data protection | | |
AI Core
| Feature | Community Edition | Premium Edition |
|---|---|---|
| Auto ML module to build models without any coding | | |
| Auto computer vision feature detection | | |
| Easily identifies the defects and faulty conditions in any sensors or Edge devices with root cause analysis | | |
| Predict the future trends with time series prediction using ML and Deep Learning algorithms. | | |
| Processing visual data to generate insights | | |
| Annotation tool for easy annotation | | |
| Automated Quality control system for embedded devices | | |
| Visual Data based Deep Learning approaches | | |