Orbbec Persee 2 combines an active stereo depth camera with an embedded Amlogic A311D computer, allowing developers to run vision applications on the device rather than relying on a separate host PC. Its six-core processor, GPU, and NPU work alongside an Orbbec ASIC dedicated to depth processing.
The integrated platform provides 4GB RAM and 32GB eMMC storage, a documented depth range of 0.2-10 m, and depth and RGB streams up to 1280 x 800 at 30 fps. Android and Ubuntu system support, wired and wireless networking, and display and peripheral connections make it suitable for compact interactive, sensing, and edge AI installations. As a self-contained RGB-D camera computer, Persee 2 brings sensing, application execution, and display connectivity into one enclosure for developers building interactive displays, people-counting prototypes, and local computer-vision systems. The integrated design reduces the need to accommodate a separate application computer beside the camera.
Features
- Integrated camera and computer - Processes depth data and runs user applications within one compact device. This all-in-one architecture suits installations where space for a separate host and its cabling is limited.
- Six-core Amlogic processor - Combines four Cortex-A73 cores and two Cortex-A53 cores with GPU and NPU resources.
- Dedicated depth processing - An Orbbec ASIC handles depth computation from the active stereo IR camera. Separating depth computation from the application processor provides a clear starting point for building RGB-D processing pipelines.
- Wide depth coverage - Provides a listed 0.2-10 m depth range with a 91-degree horizontal and 66-degree vertical depth field of view.
- Selectable frame-rate modes - Depth supports 1280 x 800 at 30 fps or 640 x 400 at 60 fps; RGB supports 1280 x 800 at 30 fps or 1280 x 720 at 60 fps. Choose the image profile around the spatial detail and temporal sampling required by the application.
- Onboard memory and storage - Includes 4GB RAM, 32GB eMMC storage, and MicroSD expansion up to 128GB. The expansion slot provides an additional storage option for supported system workflows and application data.
- Android and Ubuntu development - The documented onboard operating systems are Android 9.0 and Ubuntu 18.04, with Orbbec SDK support. Select an SDK build and system image matched to the embedded ARM platform and installed camera firmware.
- Wired and wireless connectivity - Integrates Gigabit Ethernet, Wi-Fi 802.11a/b/g/n/ac, and Bluetooth 5.0. These interfaces provide options for connecting the embedded application to local devices and networks.
- Display and peripheral connections - Provides HDMI 2.0, USB 2.0 Type-A, a Type-C service interface, and 3.5mm audio output. The Type-C service port is intended for debugging and firmware updates, rather than a USB 3.0 camera connection.
- Audio and motion inputs - Includes a four-microphone linear array and IMU support.
- Compact mounting format - The 352 g enclosure measures 180 x 45 x 76.5 mm and provides a removable mount and bottom 1/4-20 UNC mounting interface.
Specifications
| Parameter | Value |
|---|---|
| Brand / Model | Orbbec / Persee 2 |
| Product category | Integrated depth camera and embedded computer |
| Depth technology | Active stereo IR |
| IR wavelength | 850 nm |
| Depth range | 0.2-10 m |
| Depth resolution / frame rate | 1280 x 800 at 30 fps; 640 x 400 at 60 fps |
| Depth field of view | 91 degrees horizontal x 66 degrees vertical |
| RGB resolution / frame rate | 1280 x 800 at 30 fps; 1280 x 720 at 60 fps |
| RGB field of view | 16:10: H93 x V68 degrees; 16:9: H93 x V61 degrees |
| Processor | Amlogic A311D: quad-core Cortex-A73 + dual-core Cortex-A53; GPU and NPU |
| Depth processor | Orbbec ASIC |
| RAM | 4GB |
| Storage | 32GB eMMC |
| MicroSD expansion | Up to 128GB |
| Operating systems | Android 9.0 / Ubuntu 18.04 |
| SDK | Orbbec SDK |
| Ethernet | RJ45 Gigabit Ethernet |
| Wi-Fi | 802.11a/b/g/n/ac |
| Bluetooth | 5.0 |
| USB | USB 2.0 Type-A; USB 2.0 Type-C for debugging and firmware updates |
| Display output | HDMI 2.0 |
| Audio output | 3.5mm |
| Microphones | 4-microphone linear array |
| Motion sensing | IMU supported |
| Remote control | Infrared |
| Power input | DC 12 V / 2 A |
| Operating environment | 0-35 C; indoor / semi-outdoor; 5-95% RH |
| Dimensions (W x H x D) | 180 x 45 x 76.5 mm |
| Weight | 352 g |
| Mounting | Removable mount; bottom 1/4-20 UNC |
| Laser classification | Class 1 laser product |
| Rear-port thermal limit | The metal shell of the ports on the back of the camera should not exceed 55 °C. |
Product Comparison
| Parameter | Orbbec Persee 2 | Orbbec Gemini 2 |
|---|---|---|
| Product architecture | Integrated depth camera and application computer | USB-connected depth camera |
| Application processing | Amlogic A311D with CPU, GPU, and NPU; 4GB RAM and 32GB eMMC | External host runs user applications; onboard Orbbec ASIC processes depth |
| Depth technology | Active stereo IR | Active stereo IR |
| Listed depth range | 0.2-10 m | 0.15-10 m |
| Depth at 30 fps | 1280 x 800 | 1280 x 800 |
| RGB at 30 fps | 1280 x 800 | 1920 x 1080 |
| Depth field of view | 91° horizontal x 66° vertical | 91° horizontal x 66° vertical |
| Power and connectivity | DC 12 V / 2 A; Gigabit Ethernet, Wi-Fi, HDMI, and USB 2.0 interfaces | USB 3.0 Type-C for power and camera data |
| Dimensions / weight | 180 x 45 x 76.5 mm / 352 g | 90 x 25 x 30 mm / 98 g |
| Integration approach | Run a compatible vision application on the camera computer | Connect the camera to an existing PC or compatible embedded host |
Choose Persee 2 when the vision application should run within the camera enclosure. Choose Gemini 2 when an existing host will handle application processing and a smaller USB camera is the better fit. Listed sensing ranges depend on the scene and operating conditions; they are not guaranteed measurement distances for every target.
Development and Integration
Separate Depth Capture from Application Logic
The Orbbec ASIC performs depth processing, while the Amlogic A311D provides resources for your application. Begin by validating the required depth and RGB profiles on the installed system, then build the application pipeline around those streams. Skeletal tracking, gesture interpretation, occupancy analytics, and dimensioning require suitable software and application-level validation; they are not implied turnkey functions of the camera hardware.
Plan the Display, Network, and Service Connections
Use HDMI 2.0 for a connected display and select Gigabit Ethernet or Wi-Fi for the network requirements of your application. The USB 2.0 Type-C connection is a service interface for debugging and firmware updates. Follow the English system installation guide for OS installation, and keep the SDK package, firmware, and embedded ARM environment compatible rather than assuming the newest SDK supports every older image.
Mounting and Thermal Planning
The removable mount and 1/4-20 UNC bottom interface support fixed installation designs. Keep the optical openings unobstructed and allow ventilation around the enclosure. Validate target distance, lighting, and temperature in the final installation; the documented ambient operating range is 0-35 °C, and the manual also limits the metal shell of the rear ports to 55 °C.
Application
Interactive Displays
Build depth-aware kiosks, educational displays, and gesture-based interfaces with suitable application software. The integrated processor can run the interaction application while HDMI connects to a display, reducing the number of separate devices in a kiosk or exhibit. Develop and validate the gesture or body-tracking software for the installed platform and the intended user interaction.
Package Dimensioning
Use depth measurements as inputs to a calibrated dimensioning application. Combine the captured geometry with a defined measurement region and an application-specific calibration procedure. The integrated camera computer can be evaluated for compact dimensioning stations, with performance checked against the package materials, mounting position, and measurement tolerances of the project.
People Counting
Develop occupancy and foot-traffic analysis software using depth and RGB inputs. Combine a suitable detection and tracking application with a carefully positioned camera to study entrances, activity zones, or occupancy changes. Evaluate occlusion and field-of-view coverage in the actual space; the software implementation determines the counting logic and reporting workflow.
Exercise and Motion Analysis
Integrate compatible tracking software for motion-feedback and rehabilitation research. Depth and RGB streams can support visual feedback applications when paired with validated motion-analysis software. The self-contained computer and display connection provide a practical development format for exercise demonstrations and supervised rehabilitation research, without implying medical certification or automatic clinical assessment.
Robotics Prototyping
Evaluate perception and object-sensing applications on an integrated camera-computer platform. The onboard computer lets developers evaluate local RGB-D processing before deciding how perception should interact with the rest of a robot. Use application-specific software for object detection or navigation research, and validate system timing and sensing limits separately from motor-control or safety functions.
Edge AI Development
Prototype local vision-processing applications using the embedded CPU, GPU, and NPU resources. Use the integrated memory, storage, and networking to explore how a compatible vision workload runs on an embedded platform. Select supported models and runtimes for the installed OS; actual inference performance depends on the model, software stack, and use of the available acceleration resources.
Reference Documents
Documents and Manuals
SDK and Development
Product Lifecycle
Packing List
| SKU | Item | Quantity |
|---|---|---|
| ORBBEC-Persee2 | Orbbec Persee 2 camera computer | x1 |
| Infrared remote control | x1 | |
| 12 V / 2 A power adapter | x1 | |
| HDMI cable | x1 |
FAQ
Persee 2 uses an Amlogic A311D platform with an NPU and documented Android and Ubuntu support. Persee N1 uses an NVIDIA Jetson Nano platform. Select according to the processor platform and software environment required by your application.
Persee 2 contains an application processor, RAM, storage, and an onboard operating system. Gemini 2 connects to an external host over USB 3.0 for application processing. Persee 2 suits self-contained vision applications, while a USB camera suits projects that already have a compatible computer.
No external host PC is required for normal onboard application execution. Persee 2 includes its own processor, memory, storage, and operating system. A separate computer can be used for development or system installation.
Yes, at the specified reduced resolutions: depth at 640 x 400 and RGB at 1280 x 720. The listed 1280 x 800 mode runs at up to 30 fps.
The documented Type-C port supports USB 2.0 and is intended for debugging, firmware updates, and system-related access. It should not be described as a USB 3.0 camera interface.
The documented system images are Android 9.0 and Ubuntu 18.04. Use the Persee 2 installation guide and check the SDK release, camera firmware, and ARM platform requirements before selecting an SDK package.
Persee 2 uses a DC 12 V / 2 A supply. A power adapter is included in the documented packing list.
The listed depth range is 0.2-10 m. Practical results depend on the scene, surface properties, lighting, and installation. The specified operating environment is indoor or semi-outdoor at 0-35 C.
The hardware and Orbbec SDK provide a development platform. Features such as skeletal tracking, people counting, and package dimensioning require suitable application software; they are not presented as preinstalled turnkey functions.
Orbbec announced the Persee 2 lifecycle schedule on June 10, 2026. The manufacturer lists December 30, 2026 as the end of marketing and December 30, 2028 as the end of service and support. These dates should be considered when planning a long-term deployment.