Description
The DJI Manifold 3 is an industrial-grade onboard computing system designed to bring advanced intelligence, AI processing, and custom automation to DJI’s enterprise drones such as the Matrice 400, Matrice 4 Series, and Matrice 4D Series. It essentially upgrades your drone from a flying sensor platform into a smart edge-computing device capable of real-time data analysis and autonomous decision-making.
⚡ Key Capabilities & Features
🚀 High-Performance Computing
-
Powered by an NVIDIA Jetson-based architecture, Manifold 3 delivers up to 100 TOPS (trillions of operations per second) of computing performance using INT8 precision — enabling high-speed AI inference and complex vision workflows directly onboard the aircraft.
-
The 100 TOPS figure comes from a combination of GPU and dedicated AI accelerators (DLA), giving it parallel processing for deep learning and computer vision tasks.
🧩 Compact & Rugged Design
-
At only ~120 g and roughly 98 × 57 × 36 mm, it adds minimal weight and drag — which is crucial for flight endurance.
-
The enclosure is rated IP55 for dust and water-jet resistance, and it’s engineered to operate in wide temperatures from –20 °C to 50 °C (with storage up to 60 °C), making it suitable for harsh field environments.
💾 Memory, Storage & Interfaces
-
16 GB LPDDR5 RAM and a 256 GB SSD give it fast local processing and enough onboard space to store mission data, logs, AI outputs, or sensor inputs without instant off-loading.
-
It uses the drone’s E-Port V2 for both power and data connection, and provides a USB-C (USB 3.2 Gen 1) port for peripherals like SSDs, sensors, network interfaces, or other devices.
🛠 Developer-Friendly & Open Environment
-
The platform supports DJI Payload SDK (PSDK) V3, Onboard SDK v5.0, and common software frameworks. This lets developers build, install, and run custom apps tailored to mission needs — from anomaly detection to autonomous routing.
-
Apps can be managed through the DJI Pilot 2 app, offering an “app-store-like” experience for mission software without needing firmware hacks or deep CLI access.
🌐 Real-Time Mission Intelligence
Because computing happens onboard rather than in the cloud, the Manifold 3 enables:
-
AI inference & machine vision during flight (e.g., detecting infrastructure defects).
-
3D mapping and route planning in real time (e.g., Smart 3D Explore workflows on compatible drones).
-
Augmented reality overlays on live video feeds for enhanced situational awareness.
-
Low-latency decisions in emergency response, public safety, or industrial inspection work where ground links are intermittent or unavailable.
📊 Typical Applications
| Category | Example Use Cases |
|---|---|
| Industrial Inspection | Power lines, pipelines, solar farms — real-time AI identifies faults and hazards. |
| Surveying & Mapping | Onboard LiDAR + vision fusion for 3D modeling without ground post-processing. |
| Emergency & Safety Operations | Object/person tracking, hazard alerts, command support without cloud dependency. |
| Automation & Robotics | Autonomous flight workflows guided by AI and real-time telemetry. |
🧪 Technical Summary
Compute: Up to 100 TOPS (INT8)
Memory & Storage: 16 GB RAM + 256 GB SSD
Power: Up to ~33 W (varies by task intensity)
Interfaces: E-Port V2 (power + data), USB-C 3.2 Gen 1
Environmental: IP55; –20 °C to 50 °C operating range
Compatibility: DJI Matrice 400, Matrice 4 Series, Matrice 4D Series
Reviews
There are no reviews yet.