AI Core

SenzMatica IoT core platform focuses on all aspects of IoT ecosystems as a one-stop AIoT solutions provider. With the capability to build and customise IoT platforms and smart sensor-based device networks that allow devices to communicate with SenzMatica core services with a high-load, scalable architecture on securely stored data using Big Data, AI, ML, and Deep Learning.

Features of IoT Kits

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IoT Data Pipeline

End to End Pipeline for Machine Learning process of real time IoT Data

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Auto ML

Easily build models for IoT and deploy in our platform without any coding

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Root cause Analysis

Early identification of defects and faulty conditions in IoT kits and find root cause of the issue

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Time series prediction

Predict the future trends using ML and Deep Learning algorithms

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Computer Vision

Processing visual data to extract information

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Auto Annotation

Annotation tool for easy annotation with ML based auto suggestion

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Auto quality testing

Automated quality testing on a huge number of manufactured IoT kits

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Defect detection

Auto defect detection capability in images and videos

Feature Comparison Matrix

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

Annotation tool for easy annotation.

Processing visual data to generate insights

Predict the future trends with time series prediction using ML and Deep Learning algorithms.

Automated Quality control system for embedded devices

Visual Data based Deep Learning approaches

Community Edition
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Premium Edition
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SenzAgro

Forecast future trends with time series prediction

Our SenzMatica AIoT platform analyses large scale sensor data and identifies the potential future Weather Prediction, Price Prediction and Demand Prediction. With the help of big data from the SenzMatica IoT platform and a combination of multiple ML and algorithmic solutions, this module gives an insight into data and future-time-based predictions based on past data. The module helps organisations to predict future trends with greater accuracy.

Computer vision-based defect detection

Using SOTA computer vision models such as image classification , object detection and segmentation , applications are enabled to detect defects and patterns from images.

SenzAgro