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Deploy image models to Edge devices and connect cameras, video, RTSP, events, and structured output.
Create a reproducible path from image input and quality checks to Edge inference and structured events, with a stated validation boundary.
Applicable products: Edge Vision · Asterism · Plant Doctor · Custom Edge AI
Discuss this solutionVision AI must address image conditions, model boundaries, hardware resources, event contracts, and human review together.
A model file alone is not an operating workflow; input quality, runtime, events, and downstream systems must be designed together.
Create a reproducible path from image input and quality checks to Edge inference and structured events, with a stated validation boundary.
Lighting, angle, occlusion, and data distribution affect recognition
FPS and latency depend on model and hardware
Camera protocols, event rules, and human review need explicit definitions
Use approved images, video, or RTSP sources.
Check size, format, lighting, and clarity.
Run the model in the target runtime.
Output within validated labels and data conditions.
Convert inference into conditional events.
Connect downstream systems through JSON or approved interfaces.
Assess format, resources, and performance per hardware target.
Receive cameras, still images, video, or RTSP.
Prepare format, size, and image quality.
Run validated models on target hardware.
Form events from thresholds and field context.
Retain low-confidence, exception, and review paths.
Provide structured results with required context.
Connect dashboards, notifications, or approved APIs.
Run image analysis and event integration close to the data source
Image input, model inference, event decisions, and system outputs run in an edge environment, shortening the path from data to application.
View productCompose sensing, models, decisions, and device control into an adaptable flow
Asterism is Constellation’s core platform direction, connecting data inputs, edge analytics, decisions, safety conditions, and device outputs through explicit modules.
View productTurn plant imagery and field context into traceable review support
Image models and field data support plant-condition review, creating a consistent information entry point for inspection and management decisions.
View productDefine deployable edge intelligence around equipment, data, and operating constraints
Starting with existing equipment, data sources, model needs, and workflows, we evaluate and compose an appropriate Edge AI integration approach.
View productDefine targets, labels, image conditions, and error cost.
Phase outputs
Validate output and uncertainty with reproducible data.
Phase outputs
Validate conversion, quantization, runtime, resources, and errors.
Phase outputs
Connect human review, notifications, or applications and retain records.
Phase outputs
A reproducible image-input and inference path
Structured events with context
Model and hardware validation records
Plant imagery, vision models, and field context form an analysis flow for appearance candidates and condition records.
Products used: Plant Doctor · Edge Vision · Asterism
View case studyVision models run on edge devices to validate camera input, inference, structured results, and event integration.
Products used: Edge Vision · Custom Edge AI · Asterism
View case studyEvaluate how one Edge AI platform can be ported and adapted across CPU, GPU, NPU, and AI-chip environments.
Products used: Asterism · Custom Edge AI · Edge Vision
View case studyStart with data, model, camera, and event requirements to plan a reproducible Edge vision workflow.
Discuss this solution