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AI camera for local processing of images, audio, and sensor data in Edge AI systems. The reCamera Pro 2GB features a Rockchip RV1126B processor with a 3 TOPS NPU, 2 GB of RAM, 16 GB of eMMC storage, and an 8 MP SC850SL sensor capable of capturing 4K video. It supports object recognition, VLM, LLM, and speech processing models, as well as RTSP, RTMP, ONVIF, MQTT, and HTTP protocols. Provides 1 Gb/s Ethernet, dual-band WiFi, Bluetooth 5.4, and CAN, UART, and GPIO interfaces. Designed for intelligent surveillance, industrial automation, and IoT systems. Seeed Studio 100092895
Industrial AI camera with an 8 MP sensor and local image processing capabilities, designed for intelligent surveillance systems, industrial automation, and Edge AI applications. The reCamera Pro 2GB features a Rockchip RV1126B SoC with a quad-core Arm Cortex-A53 CPU and a 3 TOPS NPU, enabling artificial intelligence algorithms to run directly on the device. The camera supports computer vision models, VLMs, LLMs, and speech processing, allowing it to analyze images and audio and respond to detected events without transmitting all data to an external server.

The 8 MP SC850SL sensor with a 1/1.8" optical format captures images at a resolution of 3840 x 2160 px at 30 fps. The sensor features a 2.0 µm pixel size and is designed for operation in low-light conditions. The standard lens has a focal length of 2.75 mm, an F2.4 aperture, and a field of view of 123° ±5°. The M12 mount allows the lens to be replaced according to installation requirements.
The 3 TOPS NPU supports local execution of AI models for object detection, classification, and recognition. The software also enables the use of VLM and LLM models, as well as speech recognition and synthesis functions. The camera features 2 GB of RAM and 16 GB of eMMC storage, while RKNN-Toolkit2 support allows models to be prepared for execution on the built-in processing hardware.
The reCamera Pro supports YOLO-based computer vision models and the ONNX, PyTorch, TensorFlow Lite, Caffe, and Darknet frameworks. The SenseCraft AI platform enables users to train custom image and sound classification models without having to build an entire development environment from scratch. The solution is suitable for developing object detection systems, product quality inspection applications, acoustic event identification, and image analysis for automation. The browser-based Web UI provides device configuration, video preview, model management, and automation workflow settings.
The event-driven automation system allows specific actions to be triggered when an object, sound, movement, or signal from an external sensor is detected. Events can also originate from GPIO and UART interfaces, HTTP requests, or scheduled timers.
In response, the camera can capture an image, start recording video, play an audio message, send an alert, or transmit data via HTTP and MQTT.
A continuous video streaming mode is also available for integration with video recording and surveillance systems.
Support for RTSP, RTMP, and ONVIF enables video transmission to compatible NVR recorders, VMS platforms, and network services. Combining AI analysis with video recording simplifies the development of systems that respond only to predefined events.

The camera features two microphones, a built-in speaker, and an IMU sensor, enabling the analysis of visual, acoustic, and motion-related information. It can detect unusual machinery sounds, acoustic events, impacts, and changes in device orientation. Built-in GPIO, UART, and CAN interfaces allow additional sensors to be connected and enable communication with external control systems. The reCamera Pro is suitable for production line quality inspection, intelligent warehouse surveillance, access control systems, and IoT applications. Local AI model execution also enables the development of systems for object counting, personal protective equipment detection, and recognition of custom-defined events.

Support for RTSP, RTMP, ONVIF, HTTP, MQTT, UART, and CAN protocols enables camera integration with surveillance systems, IoT platforms, and industrial automation. Video can be transmitted to VMS platforms and NVR recorders, while AI analysis results can trigger actions in external applications, PLC controllers, and manufacturing execution systems (MES).
1 Gb/s Ethernet, dual-band WiFi, and Bluetooth 5.4 provide multiple connectivity options for network infrastructure. The camera also features a USB-C 3.0 port, CAN, GPIO, and UART interfaces, as well as MIPI CSI and MIPI DSI connections. An open HTTP API enables remote control of camera functions and retrieval of AI analysis results. Additional information about configuration and setup is available in the reCamera Pro documentation on the Seeed Studio Wiki.
The device runs the Buildroot operating system and features a microSD card slot supporting capacities up to 512 GB. In addition to the standard 12 V DC / 2 A power supply, the manufacturer supports powering the camera through PoE, USB-C, or a 7.4 V battery with an appropriate configuration. The enclosure measures 67 x 67 x 89.8 mm and weighs approximately 324 g. The kit includes the reCamera Pro 2GB AI camera, a power adapter, and a USB-C data cable. The device can operate as a standalone AI camera or as part of a larger automation and image analysis system.
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AI camera for local processing of images, audio, and sensor data in Edge AI systems. The reCamera Pro 2GB features a Rockchip RV1126B processor with a 3 TOPS NPU, 2 GB of RAM, 16 GB of eMMC storage, and an 8 MP SC850SL sensor capable of capturing 4K video. It supports object recognition, VLM, LLM, and speech processing models, as well as RTSP, RTMP, ONVIF, MQTT, and HTTP protocols. Provides 1 Gb/s Ethernet, dual-band WiFi, Bluetooth 5.4, and CAN, UART, and GPIO interfaces. Designed for intelligent surveillance, industrial automation, and IoT systems. Seeed Studio 100092895