Vine Camera System

$999.00

A multi-node system for distributed monitoring

The Vine Camera System is a distributed monitoring platform for large environments that require continuous inspection, like retail and warehouse operations – particularly those with high value or high volume goods. Key features include:

  • 48V DC power supply allows the central hub to power up to 64 cameras
  • Lightweight REST API for simple data collection from across network of connected cameras
  • Quad-core Cortex-A72 processor and optional Hailo 8 AI accelerator enables onboard processing for faster, more cost-effective operation
  • Programmable camera LEDs improve visibility and image quality for improved monitoring

Base Development Kit includes 1 hub and 4 cameras; contact Hellbender for alternate configurations. Designed and assembled in the USA.

All Products are Pre-orders only
Products are expected to ship by late summer. For quantities great than 50, please Contact Us. Warranty & Returns.

Available for Pre-Order Spring 2026

Camera Specifications

Dimensions 121 g
43 mm x 81 mm x 39 mm
Power 48 V DC
Camera Units can only receive power directly from the Hub or other Vine Camera Units
Electrical Interface 2x RJ45 Passthrough Power + Data (10BASE-T1S Ethernet)
NOTE: This is a non standard pinout so do not connect to devices other than the hub or other Vine Cameras
Mechanical Interface 1x 1/4-20 Mounting Point
2x M3 Holes
Optical FOV Option 1: 66˙H x 41˙V
FOV Option 2: 102˙H x 67˙V
11.9 MP Autofocus Global Shutter
Accessories 2x Illuminator LEDs
Environment Expected operating temperature -20 to 65° C

Hub Specifications

Dimensions 390 g
121 mm x 144 mm x 43 mm
Power 48 V DC
Electrical Interface 1x Gigabit Ethernet port for Network Connection
4x RJ45 ports for 10BASE-T1S Ethernet to camera groups
1x Wi-Fi Antenna Port
1x 6-Pin Molex Power Connector
Wireless Network Wireless LAN, 2.4GHz and 5.0GHz IEEE 802.11b/g/n/ac
Bluetooth 5 & BLE NOTE: Wireless networking not included in current software release
Processing Raspberry Pi CM4 SOM Quad Core Cortex-A72 @ 1.5GHz
Raspberry Pi RP2350 Dual Cortex M33 @ 150MHz
Hailo 8 AI Accelerator (Optional)
2GB RAM | 32GB Storage (Alternate configurations available)
Mechanical Interface 4x M4 Holes in 100 mm x 100 mm VESA pattern
4x #5 Screw Holes
4x Notches Compatible with Pegboard Backing
Sensors & Accessories IMU
Environmental Sensor - T, P, RH
RGB status LED
Power indicator LED
Reset button
Software Default Linux-based OS supported by REST API and web configuration GUI
Environment Expected operating temperature -20 to 65° C

Hub Feature Diagram

vine cam hub feature diagram 1

Camera Feature Diagram

vine cam camera feature diagram

Hub Dimensional Drawing

vine cam hub diagram

Camera Dimensional Drawing

vine cam camera diagram

Operation Notes

WARNINGS

  • This product uses non-standard RJ-45 pinouts for camera interconnects which could cause damage if connected to a standard Ethernet connection.
  • This product should only be connected to the specified 48VDC power supply.
  • The RTC coin cell can use non-rechargeable cells.
  • This product should be operated in a well-ventilated environment, and if used inside a case, the case should have appropriate cooling capabilities or else not be sealed.
  • This product should be placed on a non-conductive surface in use and should not be contacted by conductive items.
  • The connection of incompatible devices to the various connectors may affect compliance and result in damage to the unit and invalidate the warranty.
  • All peripherals used with this product should comply with relevant standards for the country of use and be marked accordingly to ensure that safety and performance requirements are met.

SAFETY INSTRUCTIONS

To avoid malfunction or damage to this product please observe the following:

  • Do not expose to water, moisture, or place on a conductive surface while in operation.
  • Avoid mechanical or electrical damage to the printed circuit board and connectors.
  • Avoid handling the printed circuit board while powered and only handle the edges to minimize the risk of ESD.

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