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.