Image-source integration
Establish reliable input around camera interfaces and operating conditions.
Allow or reject optional analytics. Rejecting does not affect the site; formal analytics is currently disabled.
Computer vision
Run image analysis and event integration close to the data source
Continuous image transfer can face network, latency, and data-governance constraints, while model results may remain disconnected from downstream work.
Necessary analytics and event handling stay at the edge, with explicit interfaces connecting notifications, records, or existing systems.
Establish reliable input around camera interfaces and operating conditions.
Run a validated vision model on selected hardware.
Convert model outputs into conditional events with time context.
Send events to records, notifications, or existing applications.
Acquire and manage image sources
Prepare image format and quality
Run the target vision model
Organize outputs around defined conditions
Connect notifications and external systems
Confirm the vision task and image conditions
Select hardware and establish a performance baseline
Validate the model and event policies
Connect the target system and monitor operation
Combine environmental sensing, plant imagery, Edge AI, decisions, schedules, and device control around crop and field requirements.
View solutionIntegrate 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 solutionAssess and build an Edge AI deployment around hardware resources, models, data, equipment, and operating requirements.
View solutionPlant 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 detailsVision 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 detailsEvaluate 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 detailsProduct fit depends on data, equipment, safety, and operational constraints. Start with a focused conversation about the intended environment.
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