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Real-Time Data Streaming
Low-latency vehicle data with deterministic delivery
AutoPi Real-Time Streaming forwards raw and decoded vehicle signals from the CAN-FD Pro directly to your backend with minimal delay. Data from CAN 2.0, CAN-FD, OBD-II, J1939 and auxiliary sensors is captured on the device’s isolated CAN controller, timestamped, and transmitted over 4G/LTE, WiFi, or Ethernet with adaptive retry and buffering.
The CAN-FD Pro is built for high-volume workloads such as EV battery telemetry, powertrain development, and ADAS data capture. A dedicated controller ensures stable arbitration, while kernel-level drivers handle burst traffic without loss. Messages are streamed using MQTT, REST, or webhooks, with guaranteed ordering when reconnecting after offline operation.
Configure sampling rates, apply delta streaming, and forward raw frames or decoded signals. TLS device certificates, device-side ACLs, rate limits, and tenant isolation secure large deployments. Integrate with existing platforms through our open API and manage OTA updates, parser versions, and configurations centrally.
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Feature Highlights
Real-Time Data, Real-Time Decisions:
The Unified Platform
AutoPi streams telemetry from vehicles and edge devices into a unified data layer. Events are delivered with low latency to dashboards, webhooks, and back-end systems, so you can automate reactions, feed analytics, and validate behaviour using consistent, time-stamped data rather than manual exports.
Telematics Data Streaming Layer
Use AutoPi as the transport and integration layer between vehicles, edge logic, and your own applications. Normalised payloads, topic structures, and APIs give developers a stable interface for building dashboards, alerts, and downstream services on top of live data.
Telemetry from devices is buffered and forwarded in near real time to AutoPi Cloud and onward to MQTT, webhooks, or REST endpoints. Typical end-to-end latencies are measured in seconds, making the stream suitable for live dashboards, alerts, and control loops that depend on up-to-date vehicle and sensor states.
The same architecture supports a handful of test vehicles and large, distributed fleets. Device-side sampling and filtering keep bandwidth predictable, while the backend handles parallel connections, topic fan-out, and backpressure so that stream behaviour remains consistent as you add more units and data sources.
Consume the stream through REST APIs, webhooks, or message brokers and map it into your own data model. Push events into maintenance platforms, ERP, data lakes, or bespoke applications without re-implementing the device layer. Payload formats are documented so they can be parsed reliably by existing tooling and pipelines.
Data in transit is protected with TLS and authenticated device connections. Access to streams and APIs is controlled per tenant with keys and roles, and events are stored with audit trails and retention policies. This allows you to expose data to multiple systems while keeping boundaries between customers, projects, and environments clearly defined.
Work with payload examples, device simulators, and documentation that describe event structures, topics, and API usage. Use dashboards and logs to inspect live and historical messages, verify mappings, and troubleshoot integrations, so you can move from prototype to stable deployment with fewer unknowns in the data path.
Stream Live Vehicle Signals
Capture CAN, CAN-FD, OBD-II, and J1939 data in real time. The CAN-FD Pro timestamps and forwards signals with low latency over 4G/LTE, WiFi, or Ethernet.
Low-Latency Transport
Stream data through MQTT, REST, or webhooks. Kernel-level CAN drivers handle burst loads, ensuring timely and reliable delivery.
Scale to Any Volume
Handle thousands of messages per second with hardware-backed CAN-FD and adaptive sampling. Ideal for fleet-scale telemetry or engineering-grade data capture.
Secure Data End-to-End
All streams use TLS device certificates, on-device access control, and tenant isolation to protect data in motion and at rest.
Feature Details
Real-time streaming for vehicle data pipelines
Build reliable, low-latency data flows from the AutoPi CAN-FD Pro into your own backend. Control how signals are captured, processed, secured, and delivered for engineering and fleet workloads.
Signal-Level Control
Configure per-signal logging for CAN 2.0, CAN-FD, OBD-II and J1939. Select PIDs, raw frames, and sampling intervals, and tag every message with device, VIN, and monotonic timestamps for precise correlation in your backend.
Edge Processing & Filtering
Apply filtering, threshold logic, and basic aggregation on-device before sending data upstream. Use configurable rules to forward only deltas, exceptions, or downsampled streams, reducing bandwidth while preserving engineering-grade detail where needed.
Flexible Payload Formats
Output raw CAN frames or decoded signals as JSON or compact binary payloads. Map fields to your own schema and include metadata such as GPS, driver, and trip identifiers so streams plug cleanly into dashboards, data lakes, or time-series databases.
Config Management & Security
Manage streaming settings as templates across fleets, with versioned changes and safe rollbacks. All traffic is protected with TLS and device certificates, and access is controlled via roles and per-tenant isolation on the AutoPi platform.
Streaming Targets & QoS
Deliver data to your systems over MQTT, REST, or webhooks. Configure QoS levels, retry behavior, and buffering so that temporary connectivity issues do not result in data loss or broken time series.
Modular Expansion
Extend the CAN-FD Pro with additional HATs and interfaces when your project grows. Add extra CAN channels, digital I/O, or external sensors and stream those signals through the same configuration and monitoring pipeline.
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Frequently asked questions
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