Explore how integrators use CamThink hardware to build security, inspection, sensing, operations, and OEM systems — with flexible capture, edge processing, and standard data outputs.
Security
Typical Use Cases
Infrastructure
Typical Use Cases
Agriculture / Remote Field
Typical Use Cases
Operational Intelligence
Typical Use Cases
Retail Visual Intelligence
Typical Use Cases
CamThink × Morse Micro
Typical Use Cases
Custom Hardware Services
Typical Use Cases
From hardware access and standard interfaces to documentation and engineering support, CamThink helps integrators build edge vision AI systems without being locked into a closed stack.
Hardware design, firmware, and developer tools are open for evaluation, customization, and long-term control.
Run AI on the device, gateway, customer platform, or cloud depending on your architecture and workload.
Choose from battery, PoE, 4G, Wi-Fi, Wi-Fi HaLow, industrial I/O, and rugged hardware options for field deployment.
Use MQTT, HTTP, APIs, SDKs, and standard data outputs to connect CamThink devices with your existing platforms and workflows.
Adapt hardware configuration, firmware, interfaces, enclosures, and OEM / ODM requirements for project-specific deployments.
Access documentation, GitHub repositories, SDKs, tools, and engineering support to speed up evaluation and integration.
A low-power image capture node for scheduled or triggered visual records, built for remote monitoring workflows that need long battery life and flexible connectivity.
An event-driven edge AI camera for local detection and visual alerts, designed for distributed sites where low maintenance and flexible deployment matter.
NVIDIA Jetson Orin edge AI gateway with up to 157 TOPS for multi-camera processing, larger AI workloads, industrial I/O, and platform integration.
A fixed-site edge AI camera platform based on Hailo-15H, bringing 20 TOPS local inference, high-resolution vision, and structured event output to real operational systems.
CamThink provides open development tools for building, testing, optimizing, and deploying AI models on edge hardware. Accelerate the path from prototype to real-world deployment.
An open edge AI platform that helps teams move from data collection and annotation to model training, quantization, and device deployment without building the full AI pipeline from scratch.
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An open toolchain for model training and deployment. Collect data, annotate samples, convert models, deploy through a Web UI, preview results, and switch models faster during development.
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Deploy ONNX vision models as callable inference services, with model management, API access, and image recognition outputs for application integration.
View DocsTell us what you are building. We'll help you find the right hardware, integration path, or customization option. Or email us directly at sales@camthink.ai
