FLIR Blackfly® S USB 3.1 相機是輕量級、符合成本效益的解決方案,適用於對空間敏感的成像應用。這些相機具備多項功能,包括能精準控制曝光、增益、白平衡和顏色校正,適合整合至機器視覺系統內。另外還提供 FLIR 的 Spinnaker 軟體開發套件 (SDK)、完整的 HTML 相機和 API 說明文件與程式碼。FLIR Blackfly® S USB 3.1 相機符合 GenICam 標準及 USB3 Vision 標準。
Blackfly® S USB3 color / monochrome cameras
Features
Applications
Note: Please be sure to choose the correct adapter. #88-210 is for Blackfly S that measure 29x29x30mm and #15-838 is for Blackfly S that measure 29x29x39mm.
Teledyne FLIR Blackfly® S USB3 Cameras are compact machine vision cameras that leverage advanced CMOS area scan sensors in an ultra-compact 29mm x 29mm x 39mm form factor for easy integration into space-constrained systems.
Designed for rapid system integration, these cameras are USB3 Vision and GenICam compliant, support a wide range of operating systems and host architectures, and include image capture software with the Spinnaker SDK.
Advanced auto-algorithms, precise manual image control, and on-camera pre-processing help simplify development while enabling optimization for demanding inspection and measurement tasks.
Programmable logic, sequencer functions, chunk data, event notification, counters, timers, and logic blocks improve cycle time and support more sophisticated vision workflows.
Available sensor options include global shutter, polarization, and high-sensitivity BSI CMOS configurations, making these cameras well-suited for imaging moving objects, low-light scenes, and application-specific contrast analysis.
Blackfly S USB3 Cameras are ideal for factory automation, automated optical inspection, bar code reading, 3D scanning, intelligent transportation systems, life science instrumentation, and biometrics kiosk solutions.
On-camera features such as IEEE1588 clock synchronization, lossless compression, and deep learning inference support synchronized multi-camera setups and help reduce processing demands at the host level.
With a consistent form factor across sensor sizes and compatibility with third-party software and hardware, Blackfly S USB3 Cameras make it easier to develop once and deploy across multiple machine vision platforms.
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