PD Cam Module

Outdoor Industrial Camera

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PD.CAM – Industrial Embedded Vision Made Simple

PD.CAM is a compact, industrial-grade embedded vision module designed for machine vision, smart sensors, and edge-AI applications in harsh environments.

Built around the ESP32-S3 dual-core MCU with AI acceleration, PD.CAM combines 5-Megapixel imaging, industrial communication, and wide-range power input into a single, highly integrated module — dramatically reducing development time for vision-enabled products.

Unlike consumer camera modules, PD.CAM is engineered for long-cable installations, industrial power systems, and reliable autonomous operation.

Key Benefit

Value provided

Industrial-Grade Design

Reliable operation from -30°C to +70°C, wide 5–24 V DC input, and vibration-resistant dual-PCB construction for harsh environments.

High-Resolution Imaging

Integrated 5 MP OmniVision OV5640 sensor with autofocus and JPEG encoding, delivering sharp images up to 2592 × 1944.

Edge AI Processing

Built on ESP32-S3 with AI acceleration, enabling local image processing and decision-making without external computers.

Long-Distance Communication

RS485 and amplified I²C / UART interfaces support long cable runs and robust communication in industrial installations.

Flexible Data Storage

Onboard Flash & PSRAM plus microSD and optional industrial eMMC (up to 32 GB) for reliable image logging.

Low-Light & Night Operation

Integrated IR LED array and ambient light sensor enable consistent imaging in low-light or nighttime conditions. RGBW LEDs also integrated for visual scenarios.

Easy Integration & Customization

Simple command-based API, support for ESP-IDF, Arduino, and MicroPython, with OEM hardware and firmware customization available.

 

Typical Applications

    • Industrial machine vision for RS-485 / I2C / UART buses

    • Barcode & QR code readers

    • Traffic & parking systems

    • Autonomous robots & AGVs

    • Smart chargers, meters, and kiosks

    • Predictive maintenance & inspection

    • Low-light monitoring using IR LEDs

 

Edge AI Processing — No External Compute Required

PD.CAM is powered by the ESP32-S3 dual-core microcontroller with AI vector acceleration, allowing image processing and decision-making directly on the module.

This enables:

    • Object detection and classification

    • Barcode and QR code reading

    • Event-based image capture

    • Reduced data bandwidth and system latency

By processing data at the edge, PD.CAM lowers system complexity and total cost.

Programmable RGB LEDs for Visual Indication

PD.CAM includes an onboard RGB LED array that can be fully controlled by firmware to provide clear visual feedback.

Use RGB LEDs for:

    • System status indication

    • Communication activity

    • Error and fault signaling

    • Application-specific visual cues

    • User interaction during setup and commissioning

Visual indication simplifies debugging, maintenance, and on-site operation — especially in headless or sealed systems.

Flexible Storage and Data Logging

PD.CAM supports multiple storage options to match different reliability and capacity requirements:

    • Onboard SPI Flash and PSRAM

    • microSD card slot for removable storage

    • Optional industrial eMMC (up to 32 GB) for long-term logging

Captured images and metadata can be stored locally or retrieved remotely via the command interface.

 

Feature

PD.CAM (Industrial Embedded Vision)

Generic Camera Modules

Intended Use

Designed for industrial, OEM, and long-term deployments

Hobby, consumer, or short-term projects

Power Input Range

5–24 V DC wide-range input with protection

Fixed 5 V only, minimal protection

Communication Interfaces

RS485 & amplified I²C for long cable runs

USB, CSI, or UART – short-distance only

Edge AI Processing

Built-in ESP32-S3 with AI acceleration

External CPU or SBC required

Operating Temperature

-30°C to +70°C industrial temperature range

Typically 0°C to +40°C

Low-Light / Night Imaging

Integrated IR LED array and ambient light sensor

External IR lighting required

Data Storage

Onboard Flash, PSRAM, microSD, optional industrial eMMC

Limited or external storage only

Integration Effort

Command-based API, ready for OEM integration

Custom drivers and complex software stacks

Product Lifecycle

Long-term availability and vendor support

Uncertain availability, frequent revisions

 

RS485 / I2C Command Overview

SD Card Commands

  • sd_ls – List files and directories in a specified SD card directory

  • sd_rm – Delete a file or directory from the SD card

  • sd_mkdir – Create a new directory on the SD card

  • sd_info – Retrieve SD card capacity and available free space

  • sd_read – Open a file on the SD card for reading and return its size

  • sd_newest – Get the filename of the most recently captured image

  • sd_capture – Capture an image immediately and store it on the SD card

Camera Commands

  • cam_fsize_set – Set the resolution of captured images

  • cam_fsize_get – Get the currently configured image resolution

  • cam_period_set – Configure periodic image capture (time-lapse mode)

  • cam_period_get – Read the current image capture period

  • cam_read – Open the current camera image buffer for reading

Data Reading Commands

  • read_cont – Read a specific portion of a file or camera buffer

  • read_end – Close the current read session and release resources

System & Utility Commands

  • rtc_set – Set the internal real-time clock

  • rtc_get – Read the current real-time clock value

  • ir_set – Adjust infrared LED intensity for low-light imaging

  • led_set – Set the color and brightness of the RGB status LEDs

Developer-Friendly Control

All commands are available via RS485 and I2C, making PD.CAM suitable for long-distance, noise-resistant industrial installations.
The simple command-based protocol allows easy integration with PLCs, microcontrollers, and embedded Linux systems. New commands could be implemented by Customer requests.

PD.CAM is designed for teams who need reliable, industrial embedded vision without unnecessary complexity.

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