eRCP - Robotic Computing Platform (RCP) based on Ambarella CV72S AI Vision Processor

e-con Systems offers the Robotic Computing Platform (RCP) based on Ambarella's CV72S AI vision system-on-chip (SoC). e-con's RCP comprises the CV72S Vision Processor Module (VPM) and a carrier board equipped with sophisticated interfaces, array of sensors and motor control interfaces.

e-con Systems' RCP is highly customizable to cater to the unique automation requirements of our customers. Our platform comes with an SDK that supports the robotics stack and includes pre-implemented algorithms for navigation and mapping. This versatility allows customers to develop tailored robot applications effortlessly. We also offer support for both new hardware and software peripherals, ensuring their compatibility with the ROS2 stack.

Our Robotic Computing Platform serves as versatile building blocks for innovation in the robotics market, offering a robust foundation that enables our customers to seamlessly develop customized robot applications.

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Technical Documents :

Download Robotic Computing Platform (RCP) Documents

Key Highlights

AI Compute at edge:
  • 3rd Generation Computer Vision Engine CVflow®
  • Convolutional neural network (CNN) / deep neural network (DNN)-based processing: detection, classification, and more.
  • Accelerators for conventional computer vision (CV) operations
  • Accelerators for nonlinear functions and transformer neural networks
  • Oculii™ virtual aperture imaging (VAI) radar hardware acceleration
  • CNN toolkit for easy porting of neural networks implemented in Caffe, TensorFlow, PyTorch, or ONNX frameworks.
Advanced Image Processing & Video encoding:
  • Multi-exposure line interleaved HDR & hardware dewarping engine
  • Electronic image stabilization (EIS) & Multiple camera support
  • 3D motion-compensated temporal filtering (MCTF)
  • Superior low-light processing with RGGB / RCCB / RCCC / RGB-IR / monochrome sensor support
  • H.265 and H.264 video compression and 4KP60+ video performance
  • Multiple constant bit rate (CBR) and variable bit rate (VBR) control modes
Robotics ready:
  • Includes Ambarella's CV72S – 4K 5nm AI Vision processor as System on Module.
  • Robotics kit's carrier board offers range of interfaces to integrate popular robotics sensors and actuators.
  • e-con'S Depth Vista TOF camera and multiple other camera options integrated with MIPI and GMSL interfaces.
  • ROS2 ready with popular drivers pre-integrated for out of the box experience.
  • SDK support for robotics stack with algorithms implemented for navigation and mapping.
Enhanced Security:
  • Enhanced secure boot with TrustZone and secure memory.
  • Hardware security module (HSM), TRNG, OTP
  • Arm TBSA compliance
  • DRAM scrambling, and virtualization
Specifications
Target Applications
Software
Documents
Robotic Computing Platform (RCP) Specifications
Processor
  • Dual-core ARM® Cortex® -A76 up to 1.6GHz
  • Arm Cortex-M3 up to 576MHz
  • CVflow processor with parallel architecture
Memory
  • RAM -LPDDR5 - 4 GB
  • eMMC - 8 GB
  • NAND - 4 GB
Ethernet 1 x 1GbE Ethernet
Wireless
  • 1 x WIFI (IEEE802.11a/b/g/n/ac 2.4GHz/5GHz)
  • 1 x BLUETOOTH 5.0
USB
  • 1 x USB 3.2 Host/Device (up to 10 Gbps)
  • 1 x USB 2.0 device only
Display 1 X HDMI
Camera Interface
  • 3 x 4-lane MIPI Ports
Sensors
  • 2D Lidar
  • IMU sensor
  • Ultrasonic sensor
  • TOF depth camera
  • Multiple RGB cameras with sync
Miscellaneous
  • 1 x PCIe Gen 3 1-lane
  • 1 x MIPI DSI (4 lane)
  • 1 x SDIO V3.0
  • 2 x CAN
  • 1 x I2S
  • 4 x I2C (x3 as master and x1 as slave)
  • 2 x UART
  • 2 x SPI
  • 2 x PWM
  • 6 x GPIO
Autonomous Guided Vehicles (AGVs)
Pick & Place Robots
Industrial Automation
Industrial Automation
  • ROS2 Hardware support with driver packages for
    • Motor drivers and Wheel encoders
    • 2D Lidar
    • TOF depth camera
    • IMU sensor
    • Ultrasonic sensor
    • RGB camera integration
  • ROS2 Software stack
    • Navigation
    • Mapping (SLAM)
 Bullat Arrow  Product Specifications

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What to do now?

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