Frequently asked questions
What is C40PL Open Source AI Camera used for?
C40PL Open Source AI Camera is a AI Camera from Firefly. It is typically used in embedded computing, edge AI inference, industrial control and rapid prototyping, and can be integrated into custom carrier boards or finished devices.
Does C40PL Open Source AI Camera include technical support, datasheets or pre-flashed images?
Yes. Ai-Paipai supplies this item as an authorized distributor and provides local engineering support, datasheets, SDKs and pre-flashed system images where applicable, plus OEM / ODM customization for volume projects.
Can I order C40PL Open Source AI Camera with OEM / ODM options or CE / FCC / RoHS certification?
OEM / ODM customization (specs, enclosure, BSP) is available, and CE / FCC / RoHS certified options can be provided on request for EU and US imports. Contact us for a quote.
How is C40PL Open Source AI Camera shipped, and what is the lead time?
Orders ship worldwide from Shenzhen. Stock items typically dispatch within a few business days; configurable or made-to-order variants take longer. Exact lead time is shown at checkout or on request.
Specifications
| Resolution | 1520P(2688×1520, 4M pixel) |
| Focal Length | 5.2mm(Range: 1.18m ~6.38m) |
| Lens Angle | 111° |
| WDR | 120dB |
| Video Encoding | H.264/H.265 4K@30FPS |
| Network Interface | RJ45(GbE) |
| Power | 48V-0.5A(POE) |
| OS | Linux |
| Size | 249×124×90.8 (mm) |
| Operating Temperature | -10℃-60℃ |
| IP Rating | IP67waterproof and dustproof design |
| CPU | RV1126 quad-coreARM Cortex-A732-bit kernel, integrated with NEONand FPU |
| NPU | 2.0Tops, supports INT8/ INT16Strong network model compatibility, easy conversion of frameworks like Tensor Flow/MXNet/PyTorch/Caffe |
| RAM | 2GB DDR4 |
| Storage | 16GB eMMC |
| Intelligent Alarming | Motion detection, intrusion detection, covering detection |
| Mode | Supports Day/Night mode switching, Fill Light mode |
| Protocol | Supports RTSP/RTMP |
| Face Recognition | Supports face detection, face recognition |
| Back-Stage Management | Video preview playback, face recognition management, network settings, video settings, audio settings, image settings, event management, configurationplan, storage management, intelligent analysis |
| Product Wiki | Click Here |
| Quad-core AI vision SoC | Low-power AI vision processor RV1126 quad-core 32-bit ARM Cortex-A7 architecture, up to 1.5GHz. |
| IP67 Waterproof Design | IP67 waterproof and dustproof designmakesthe camera easier to deal withoutdoorsurveillance and rainy and snowyweather. |
| Powerful AI Computing NPU | Built-in neural network processor NPU with computing power up to 2.0 Tops, it supports direct conversion and deployment of Tensorflow PyTorch, Caffe, MxNet, DarkNet, ONNX, etc. |
| 4M Pixel, HD And HDR | Owing to a large-aperture high-precision optical 4M pixel lens, with resolution up to 2688*1520, HDR function and dynamic range up to 120db. |
