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Vision AI
Vision models run on edge devices to validate camera input, inference, structured results, and event integration.
Products used: Edge Vision · Custom Edge AI · Asterism
Real-time vision environments face constraints in networking, latency, compute resources, and data transfer.
Camera protocols, model formats, hardware resources, and downstream event interfaces must be assessed together.
Edge Vision composes image sources, preprocessing, inference, and event outputs while quantization and runtime choices are evaluated per device.
Receive still, video, or RTSP input.
Prepare format, size, and quality.
Run the model in the target runtime.
Organize inference into conditional events.
Send JSON, notifications, or system events.
Create a reproducible image source and test condition.
Select model format, inference backend, and resource limits.
Confirm fields, event conditions, and error states.
Observe operation and record constraints on target hardware.
A reproducible source establishes the baseline, an output contract is confirmed, and the flow is deployed to the target device before system integration.
A prototype flow for image input, edge inference, and structured output has been established; performance and support still require device-specific validation.
No quantitative indicators are currently approved for public release.
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 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 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 productIntegrate Edge AI, vision, equipment data, and anomaly events to support field monitoring and process decisions.
View solutionDeploy image models to Edge devices and connect cameras, video, RTSP, events, and structured output.
View solutionSensor data, environmental analysis, schedules, and device control form a greenhouse flow that retains human intervention and safety conditions.
Products used: Asterism · Environment Control
View case detailsPlant 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 detailsMultiple sensor inputs, schedules, decisions, safeguards, and control outputs form a traceable field workflow.
Products used: Asterism · Environment Control · Custom Edge AI
View case detailsShare the field context, available data, equipment interfaces, and validation question. We can clarify a bounded next step without assuming a finished deployment.
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