Real connected-product and AIoT projects delivered by ZedIoT
See how device makers and operating teams moved from field constraints to working hardware, gateways, platforms, AI workflows, and measurable rollout decisions.
Lower energy use and unified operations across a large multi-store estate
Read the full caseDevice behavior, users, site conditions, data quality, and integration risks shape each delivery path.
Hardware, firmware, gateways, platforms, applications, and AI workflows are validated as one operating system.
Representative devices, real workflows, failure cases, and measurable acceptance criteria guide each pilot.
Find the closest engineering and operating pattern
Project evidence across products, platforms, AI, and field operations
Each case explains the operating problem, the engineering path, what was delivered, and which decisions were validated before production or wider rollout.
Tuya SDK integration for an outdoor smart home system
A branded app and mixed-protocol gateway path for distributed outdoor devicesTuya App SDK, gateway, RS485, LoRa, 4G, Wi-Fi, and BLE were planned as one product and site workflow instead of isolated integrations.
- Tuya SDK
- IoT gateway
- Outdoor devices
Beverage cooler IoT monitoring for a refrigeration OEM
Local controller reliability with remote alarms, fleet records, and service visibilityController signals, sensors, gateway connectivity, device models, alerts, and support evidence were connected without replacing local refrigeration control.
- Refrigeration
- Controller
- Remote monitoring
Custom industrial gas detection SaaS platform
Live alerts in under three seconds and faster response to field safety eventsLegacy detectors connect to a multi-tenant platform for real-time alarms, zone status, equipment health, and traceable response workflows.
- Gas detection
- SaaS platform
- Real-time alerts
Connected vehicle intelligent cloud control platform
Vehicle, driver, route, geofence, fuel, and risk data in one fleet workflowThe platform combines live vehicle terminals, media, road signals, driver workflows, and operational reporting for logistics and safety teams.
- Connected vehicle
- Fleet platform
- Geofencing
Industrial IoT system for manufacturing factories
Connected equipment, energy, alerts, and reports for factory operationsGateways, platform services, and operational views turn existing production equipment and energy data into usable factory evidence.
- Manufacturing
- Energy
- Industrial gateway
Smart commercial kitchen weighing system
More accurate portioning through integrated PCB, algorithm, and data uploadA connected weighing workflow links target weight, live measurement, operator feedback, device control, and cloud records for foodservice operations.
- Smart scale
- Embedded UI
- Cloud data
Environmental monitoring for remote stations
Immediate leakage and temperature alerts with cloud-based station visibilityField sensors, gateways, dashboards, and notification rules give maintenance teams a clearer view of distributed station conditions.
- Environment
- Remote stations
- Alerts
AI tour guide robot for smart buildings
Voice, building knowledge, route planning, and autonomous visitor guidanceThe robot connects conversational AI with maps, navigation, multimedia, and physical movement through a visitor-service workflow.
- AI robot
- Voice AI
- Navigation
ESP32-C3 Low-Power Sensor Node for Industrial Monitoring
Measured duty cycleAn industrial monitoring product needed an ESP32-C3 sensor node that could wake, measure, transmit, and return to deep sleep without making battery life an afterthought.
- Power profiling
- Wake-cycle firmware
- Reliable telemetry
ESP32-S3 Edge AI Voice Device Using TinyML
Offline essentialsA voice-enabled device needed local wake-word and keyword recognition so basic commands remained fast, private, and usable without a continuous cloud connection.
- Audio pipeline
- TinyML inference
- Device control
ESP32 Display Interface for an Industrial Embedded Device
Stable live displayAn industrial device needed a stable local display that could present live measurements, equipment states, and alarms without compromising the control loop.
- Display bring-up
- UI state model
- Responsive rendering
ESP32 Vehicle Safety Device for a Transportation Startup
Focused feasibilityA transportation startup needed to test whether a physical in-vehicle safety control could generate reliable alerts and grow into a connected product roadmap.
- Safety interaction
- Vehicle power
- Connected alert
Showing 12 of 50 archive entries.
Choose a starting point around the operating problem
The right first step may be a device prototype, an edge gateway, a cloud platform, an AI workflow, or a focused pilot. Related cases help identify which risk should be validated first.
Remote monitoring, device registry, alarms, work orders, OTA, and operational dashboards.
AI vision workflowRecognition, barcode scanning, inventory evidence, exception review, and WMS or ERP updates.
Cold chain monitoringRefrigeration equipment, cold rooms, alarms, service evidence, and fleet operations.
AI hardware retrofitCommunication modules, voice AI, ESP32-S3 bridges, TinyML, and connected-device upgrades.
Engineering work across industries and product ecosystems
ZedIoT supports product teams, OEMs, integrators, and operators across industrial, logistics, retail, building, medical, agriculture, and smart-device scenarios.
Questions about ZedIoT case studies
Use the case library to compare project patterns, proof, and the most relevant next step for your own system.
Does ZedIoT publish customer names for every case?
No. Some AI + IoT work involves customer devices, private systems, or confidential workflows, so each case focuses on the project type, technical path, and useful outcome without exposing protected information.
Can a case pattern be adapted to a new industry?
Yes. The starting point is usually the device behavior, data quality, operating workflow, integration system, and rollout risk rather than the industry label alone.
How should I choose the most relevant case category?
Start from the bottleneck: connected product engineering, AI automation, platform integration, industrial safety, building operations, cold chain and logistics, or field and environmental monitoring.
Have a similar AI + IoT project?
Share the device type, site workflow, user role, and current blocker. We can map your requirement to a relevant engineering path, pilot, or related case.
- AI + IoT product architecture review
- Hardware, firmware, cloud, and application integration
- Prototype planning and production support