AI/ ML - Tensorflow
AI/ ML
TensorFlow
Supercharge IoT devices with TensorFlow’s advanced machine learning capabilities—delivering real-time analytics, predictive intelligence, and smart automation across connected ecosystems.
What is TensorFlow?
TensorFlow is an open-source machine learning platform by Google, designed for building intelligent, scalable AI systems. Its flexible architecture and comprehensive libraries make it ideal for deploying machine learning models in IoT environments. Whether it’s edge analytics, predictive maintenance, or real-time decision-making, TensorFlow enables AI-driven innovation for connected devices.
Applications :
Transportation
Enable real-time lane detection and behavior analytics in ADAS systems to improve road safety.
Industrial Automation
Detect anomalies, predict equipment failures, and optimize workflows through intelligent automation.
Wearable Technology
Integrate AI-powered health monitoring and fitness tracking for real-time insights on the go.
Smart Cities
Process city-wide sensor data to optimize traffic flow, waste management, and infrastructure planning.
Healthcare
Drive intelligent diagnostics, image-based analysis, and continuous patient monitoring with TensorFlow-powered devices.
Features
Pre-Built ML Models
Leverage ready-to-deploy models for image recognition, object tracking, and NLP tasks.
Deep Learning Support
Create custom neural networks for advanced use cases using Keras and TensorFlow’s deep learning APIs.
Hardware Compatibility
Run AI models on microcontrollers, edge devices, or cloud servers with optimized performance.
Scalability
Seamlessly scale from prototype to production using TensorFlow’s modular and extensible framework.
Seamless Integration
Easily integrate into IoT ecosystems with support for REST APIs, embedded platforms, Flask, ReactJS, and more.
Use Cases
- Hotspot Detection
In industrial settings, a TensorFlow-powered thermal imaging solution detects heat anomalies in real time. Using a Unet-based model for precise thermal analysis, Flask as the backend, and Postgres for storage, the system ensures early fault detection, improves safety, and minimizes downtime through predictive maintenance. - Lane Correctness
TensorFlow enables lightweight lane detection models optimized for ESP32 microcontrollers in transportation systems. Real-time lane monitoring enhances driver safety and supports smarter ADAS implementations, even on low-power edge hardware. - Offline Face Recognition for Smartwatches
Using TensorFlow’s deep learning capabilities, smartwatches can perform offline facial recognition for attendance tracking. This self-sufficient solution ensures secure, real-time identity verification without relying on internet connectivity—ideal for remote and mobile workforce scenarios.
Project
Hotspot Detection
A Thermal Camera to identify the hotspots & coldspots in a zinc plating industrial setup to improve efficiency of a cell house using a custom ML Model and a web app for viewing the live analysis and historical reports.
FAQs
Have Questions? We’re here to help.
Yes, Krishworks Technology Innovations specializes in deploying TensorFlow and TensorFlow Lite models on edge devices such as microcontrollers, embedded systems, and smart sensors for real-time inference and low-latency performance.
Absolutely. We design and train custom TensorFlow models tailored for specific use cases like thermal anomaly detection, predictive maintenance, facial recognition, and more across multiple industries.
Yes. Krishworks develops intelligent offline applications using TensorFlow that do not rely on internet connectivity—ideal for wearable devices, smartwatches, and remote industrial environments.
Definitely. Our solutions are built with modularity in mind, allowing seamless integration of TensorFlow models with IoT stacks via APIs, MQTT protocols, and embedded firmware.
Yes. We offer complete pipelines—from data acquisition and model training to deployment and monitoring—leveraging TensorFlow, TensorFlow Extended (TFX), and compatible MLOps tools.
Hardware/PCB design & addon services
