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D1 Series 3D Camera

Cargo container high-precision 3D camera

The Product can realize a wide field of view, long working distance based on its unique solid-state optical scanning technology. It supports ROI dynamic adjustment, dust filtering, motion recognition and one click acquisition of cargo volume. The product integrates AI volume measurement algorithm, with short time synchronization, can be flexibly applied to all types of trucks, used in cargo volume detection in and out of the warehouse and real-time monitoring of the cargo status in transit, and it has gained all kinds of reliability testing and quality  certification.

Features

Wide FoV (107°*77°)
AI-based Volumetric Measurement Algorithm
Support HDR Mode
Eye Safety Class 1
Product numberLWP-D101
Working Distance0.3m~17m @10%NIST
FoV (H x V)107° x 77°
Angular Resolution (H x V)0.33° x 0.66°
Measurement Accuracy≤1%
Frame Rate1~10 Hz
Blind Spots≤0.3m
Power Supply9 ~15 V
Power ConsumptionTyp. 6W at 12V, Max 12W
Communication Interface100M Base-T Ethernet Interface with M12
Ambient Light≤100 KLux(Non-Direct sunlight)
Operating Temperature-40 – 75℃
Storage Temperature-40 – 85℃
SDKUbuntu x64/ARM
ReliabilityGB/T 28046.3-2011 4.1.2.7
Protection LevelIP54
Eye SafetyClass 1
Dimensions (L x W x H)164mm x 80.41mm x 60mm
Weight775±5g

Applications

Cargo Container

12 Pin Cable

Power Adaptor

Adaptor Plate

Test Conditions

Test Object: A 2m × 1.5m white calibration board with a reflectance of 90%.

Camera Position: The camera is mounted on an aluminum alloy fixture, with the lens surface parallel to the surface of the calibration board.

Test Preparation: The camera is powered on and preheated for 10 minutes.

Test Environment: Room temperature of 23°C, with an illuminance of 100 Lux.

Test Distances: The distances between the calibration board and the camera are 0.4m, 1m, 1.5m, 2m, 2.5m, 3m, 3.5m, 4m, and 4.5m.

Data Sampling: A 10 × 10 pixel area in the center of the image is sampled, with 32 repetitions taken and averaged.

Product

A1: All Lomax cameras are class 1 certified for human eye safety.

A2: Because the laser wavelength is 940nm, in the same position and time to use there will be multi-camera interference, can be triggered by software or hardware, through the hardware timing control way to solve the problem of multi-camera interference.

A3: In the use of the environment does not exceed the specifications of the temperature, the stability of the product will not be affected, the product has been done high and low temperature reliability test.

Operation

A1: 1. Confirm the power supply of the camera, check whether the camera indicator light is always on.

     2. Change the IP address of the host computer and the camera the same network segment, check whether the camera’s default IP address 192.168.1.200 can be PING through.

     3. If the above still solve the problem, please contact the engineer support

A2: The principle of ToF is to calculate the distance of an object from the camera by calculating the time between the light emitted by the camera and the reflected light received by the camera. Since different objects have different reflectance and absorbance, they will be presented in different states in the image, which can be achieved by turning on HDR, which successively shoots multiple photos of three exposure versions, and then combines these photos into one output. However, when HDR is turned on, the frame rate will drop to a certain extent.

A3: By reducing the frame rate, increasing the exposure time by 3000-4000, and turning the confidence filter to 1 or off.

A4: Through the upper computer software luminviewD in the configuration – update, use the updata_enc.sh file to update the lower computer, after the update prompts the update is successful automatically reboot the device to complete the firmware upgrade.

A5: The device has two network modes: static IP and dynamic IP address, which can be set in the host computer network configuration, or you can use the provided API to change the network mode.

A6: 1. Check whether the firewall is closed.
      2. Check whether the network cable is Gigabit network.

SDK

A1: Operating system support: Windows 10 64-bit, Windows 11 64-bit, Linux 64-bit. Development language: c++

A2: The default is the distance from the point to the camera face. When the camera is tested against a wall, each point on the wall has an equal distance value.

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