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Edge AI Use Cases — Intelligence Where It MattersMost
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- Edge AI Use Cases — Intelligence Where It MattersMost
Turning Data into Decisions — Right at the Edge
From vehicles that predict faults before failure, to smart meters that identify power theft, and machines that monitor
their own health —
Edge AI brings intelligence directly to the source of data.
At Gettobyte, we design, deploy, and optimize AI where milliseconds matter — on embedded hardware at the edge.
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Where Edge AI Lives
Edge AI is redefining how devices think, decide, and act — without depending on cloud connectivity.
By bringing AI inference closer to the sensor, products across automotive, industrial, and power sectors gain real-time
awareness, reduced latency, and complete data privacy.
At Gettobyte Technologies, we help clients identify the right use cases for Edge AI adoption — from simple signal-based
anomaly detection on MCUs to complex vision analytics on NPUs and GPUs.
Each solution we build answers one critical question:
What decision should this device make — and how fast?
Automotive & Mobility
Driving Intelligence into Every ECU
Modern vehicles aren’t just connected — they’re becoming self-aware electronic ecosystems.
Our automotive Edge AI services enhance safety, reliability, and diagnostics by processing data locally inside ECUs and
gateways.
Use Case
What It Does
Hardware
Class
Value
CAN Bus Anomaly
Detection
Learns normal communication patterns and
detects abnormal activity or signal drift in real
time.
NXP S32K3 /
STM32H7
Prevents ECU failures, enables
predictive maintenance
Driver Monitoring
System (DMS Lite)
Detects fatigue or distraction through low
power camera vision.
i.MX93 /
Jetson Nano
Improves driver safety and
meets AIS-189 safety
compliance
ADAS Edge Fusion
Fuses radar and camera data for lane, object,
and distance perception
TI TDA4 /
NVIDIA Orin
Enables real-time assistive
decisions under 50 ms
Battery & Powertrain
Health
Monitors EV battery current, voltage, and
temperature to predict faults.
NXP S32G /
STM32H7
Increases reliability and vehicle
uptime
Edge Telematics
Compression
Filters and compresses raw fleet data before
upload.
STM32 / ESP32
Cuts bandwidth cost while
keeping critical data accessible
Result
Vehicles that can detect, decide, and defend — locally, securely, and fast.
Power & Energy
Smarter Grids, Self-Aware Meters
The future of the energy sector lies in intelligent edge nodes that can sense, analyze, and act in real time — even before
data reaches the cloud.
Featured Use Cases
Use Case
What It Does
Hardware
Class
Value
NILM (Non-Intrusive Load
Monitoring)
Identifies appliance usage patterns using
voltage and current signatures
STM32H7 /
ESP32-S3
Delivers consumer insights and
energy audits
Tamper & Theft Detection
Detects abnormal current or magnetic
interference using AI models.
STM32 /
Infineon PSoC
Prevents energy losses, improves
billing accuracy
Transformer & Feeder
Anomaly Detection
Monitors current, temperature, and
vibration for early fault prediction.
NXP / TI /
Renesas
Enables preventive maintenance
of distribution assets
Local Load Forecasting
Predicts short-term load using on-device
LSTM or regression models.
STM32 / i.MX93
Reduces grid imbalance and
optimizes power allocation
Result
Power systems that not only measure — they predict, protect, and optimize.
Industrial Automation
Machines that Know When They Need Help
Factories are filled with high-speed, high-value assets. Edge AI brings self-awareness to every sensor and controller —
ensuring uptime, safety, and efficiency.
Featured Use Cases
Use Case
What It Does
Hardware
Class
Value
Motor Health &
Vibration Analysis
Learns baseline vibration patterns and
detects deviations.
STM32H7 /
i.MX93
Reduces downtime, extends
equipment life
Acoustic Leak Detection
Identifies air or fluid leaks via sound
patterns.
MCU / TinyML
Enhances safety and cuts
maintenance cost
Visual Quality
Inspection
Detects surface defects using camera-based
AI models.
Jetson / Hailo /
SiMa.ai
Improves quality consistency
and lowers rejects
Robot Safety Envelope
Monitoring
Fuses ToF and vision sensors to detect
human entry in restricted zones.
TI / NVIDIA /
NXP
Ensures compliance and worker
safety
Result
Factories that listen, learn, and respond — in real time.
Smart Buildings & HVAC
Energy Efficiency Through Local Intelligence
Factories are filled with high-speed, high-value assets. Edge AI brings self-awareness to every sensor and controller —
ensuring uptime, safety, and efficiency.
Featured Use Cases
Use Case
What It Does
Hardware
Class
Value
Occupancy Detection &
HVAC Control
Detects room occupancy using ToF,
PIR, and CO₂ sensors.
STM32 /
ESP32
Reduces energy consumption by 20
30%
Lift & Escalator Health
Monitoring
Detects motor wear and vibration
anomalies.
MCU /
STM32
Prevents unexpected shutdowns
Edge Camera Analytics
Performs people counting and activity
recognition locally.
Jetson /
i.MX93
Ensures security and privacy with no
cloud dependency
Result
Spaces that automatically balance comfort, energy, and intelligence.
Agriculture & Environment
Smarter Fields and Cleaner Environments
AI at the edge can transform rural and environmental systems by enabling decisions where connectivity is weak but data
is abundant.
Featured Use Cases
Use Case
What It Does
Hardware
Class
Value
Irrigation Control
Optimization
Uses soil and weather data to
automate water flow.
Low-power MCU
Improves crop yield and saves water
Crop Disease Detection
Detects pest or disease symptoms
from images.
Low-power
vision SoC
Prevents yield loss through early alerts
Air/Water Quality
Monitoring
Classifies pollution levels locally.
MCU
Enables faster local response and
regulatory compliance
Result
Sustainable intelligence for the real world — not just the cloud.
Cross-Industry Impact
No matter the domain, every Edge AI use case follows the same principle:
Sense → Analyze → Decide → Act.
Gettobyte ensures each of these steps is implemented efficiently, securely, and hardware-optimized — so intelligence
runs where it matters most.
Your Next Product Could Think for Itself.
Let’s identify the right Edge AI use case for your hardware and industry — and turn it into a working prototype.