Edge AI & ML Model Integration
Deploy optimised machine learning models on microcontrollers and single-board computers for real-time inference at the edge.
Embedded AI & Edge Intelligence
Smarter Electronics with Embedded AI & Edge Intelligence
We integrate artificial intelligence directly onto embedded hardware, enabling smarter, faster, and more autonomous systems without relying on the cloud.
Denotec develops and deploys machine-learning models on embedded platforms, bridging the gap between electronics and intelligence.
From sensor fusion and predictive algorithms to on-device decision-making, we help businesses create products that think and adapt in real time.
AI & Intelligence Capabilities
Sensor Data Processing
Advanced sensor fusion and pattern recognition algorithms that extract meaningful insights from multiple data streams.
Predictive Maintenance
Anomaly detection and predictive algorithms that identify potential failures before they occur, reducing downtime and costs.
Computer Vision
Embedded computer vision systems for object detection, classification, and tracking on resource-constrained hardware.
Low-Power Neural Networks
Optimisation of neural networks for edge hardware with minimal power consumption and maximum performance efficiency.
IoT & Connected Intelligence
Integration with IoT ecosystems and connected systems for distributed intelligence and collaborative decision-making.
How We Work
1
Requirements & Data Analysis
Analyse your use case, data requirements, and hardware constraints to design the optimal AI solution.
2
Model Development & Training
Develop and train machine learning models tailored to your specific application and performance requirements.
3
Optimisation & Integration
Optimise models for embedded deployment and integrate with your hardware platform and existing firmware.
4
Testing & Deployment
Comprehensive testing and validation followed by production deployment with ongoing performance monitoring.
Technologies & Platforms
AI Frameworks
TensorFlow LitePyTorch MobileEdge ImpulseONNX Runtime
Hardware Platforms
STM32ESP32Raspberry PiNVIDIA JetsonNordic nRF
Operating Systems
FreeRTOSZephyrEmbedded LinuxCustom Stacks
Example Applications
Industrial Monitoring & Predictive Maintenance
AI-powered systems that monitor equipment health and predict failures before they occur.
Smart Wearables & Fitness Trackers
Intelligent wearable devices with on-device health monitoring and activity recognition.
Intelligent Drones & Robotics
Autonomous navigation, obstacle avoidance, and intelligent decision-making for robotic systems.
Environmental & Agricultural IoT
Smart sensors with AI-driven analysis for environmental monitoring and precision agriculture.
Embedded Vision for Automation
Computer vision systems for quality control, safety monitoring, and automated inspection.
Bring intelligence to your next hardware project
Transform your embedded systems with AI capabilities that operate autonomously at the edge, without cloud dependency.