Core platform → Edge AI device

Edge AI Device for IoT, Banking & Smart Cities

A compact edge-compute platform for real-time AI analytics, camera/video processing, IoT telemetry and secure on-prem deployment across city infrastructure, banking environments and connected devices.

Explore use cases View platform specs
Designed for low-latency edge processing, local decision-making, cloud integration and application-specific customization.
Connected industrial edge AI environment
Platform highlights

One edge platform for vision, IoT and analytics

MotionIQ’s edge device concept is positioned as a customizable hardware + software platform that can connect sensors, cameras and local applications while running AI inference close to the data source.

AI

On-device AI inference

Run selected AI models locally for detection, tracking, counting, anomaly alerts and low-latency response.

IoT

IoT gateway capability

Aggregate device telemetry, sensor values and field data through Ethernet, Wi-Fi or cellular-ready architectures.

CAM

Camera/video analytics

Support IP camera streams and AI video analytics for people, vehicle, queue, safety and operational events.

SEC

Secure edge deployment

Designed for on-prem operation, local data handling, remote updates and secure integration with cloud platforms.

Reference architecture

Edge-to-cloud workflow

1
Connect field inputsCameras, IoT sensors, access systems, environmental sensors, machines and gateways.
2
Process at the edgeRun AI inference, filtering, event detection and local rules without sending all raw data to cloud.
3
Trigger actionsGenerate alerts, dashboards, API events, control signals and local operator notifications.
4
Sync insightsSend metadata, selected clips, telemetry and reports to customer cloud or existing enterprise systems.
Technical specification summary

Client-facing platform specification

Product typeEdge AI device / IoT gateway platform
Compute architectureConfigurable CPU + AI accelerator option based on target workload
Video analyticsIP camera stream processing, detection, tracking and event-based analytics
IoT connectivityEthernet and Wi-Fi; LTE/5G, BLE, CAN, RS485 or other interfaces based on requirement
Deployment modelOn-prem edge processing with cloud, NVR, VMS or enterprise application integration
Software supportFirmware, streaming pipeline, AI model integration, dashboards and API integration
Data handlingLocal event processing, metadata generation, selected storage and secure transfer
Industries supportedIoT, banking, smart cities, logistics and industrial infrastructure
CustomizationHardware I/O, enclosure, AI models, camera inputs, cloud/API integration and dashboard design
Target applications

Use-case templates for customer discussions

Use this page to promote MotionIQ’s edge device as a customizable solution, not a fixed appliance. The same platform can be tailored for multiple verticals.

IoT infrastructure

Connected-device intelligence at the edge

Deploy the edge device near sensors, cameras or machines to collect data, run local analytics, detect abnormal behavior and forward only useful events to the cloud.

Connected inputs Sensors
Edge events Alerts
Local analytics AI models
Cloud sync Metadata
Customer POC

Build an edge AI device around your use case

MotionIQ can align the edge hardware, camera/sensor inputs, AI models, dashboard and API integration based on your target deployment in IoT, banking, smart city, logistics or industrial environments.

Request POC View specifications