DOMI DM-PS2601-VGA 640 × 480 ToF people-counting camera
Resolution 640 × 480 at 30 fps
Working Distance 0.3-5 m
Field of View 120° H × 90° V

DM-PS2601-VGA 640 × 480 Edge-AI ToF People-Counting Camera

VGA 3D ToF people-counting camera with onboard AI, 120° × 90° FOV and real-time Ethernet data.

Key Highlights

  • 640 × 480 depth imaging at 30 fps
  • 0.3-5 m working distance with 120° × 90° FOV
  • Linux edge platform with ARM Cortex-A7, NPU and RISC-V MCU
  • People count, coordinate, height and movement-trail data over TCP
Engineering support

Overview

The DOMI DM-PS2601-VGA is an integrated 3D Time-of-Flight people-counting camera. It combines 640 × 480 depth imaging at 30 fps, dual VCSEL active illumination and an onboard Linux edge-computing platform.

Its processing platform integrates a quad-core ARM Cortex-A7, NPU, RISC-V MCU, 2 GB DDR4 memory and 8 GB eMMC storage. The embedded deep-learning function is designed to output people count, coordinate, height and movement-trail data through TCP over Ethernet, reducing the need for a separate inference computer for the advertised people-counting function.

A 120° horizontal × 90° vertical field of view and 0.3-5 m working distance support wide-area coverage planning. The source specification does not publish counting accuracy, VCSEL wavelength, ambient-light test conditions, mounting height, IP rating or laser-safety classification. Confirm these items and the current firmware interface before design release.

Resolution
640 × 480 at 30 fps
Working Distance
0.3-5 m
Field of View
120° H × 90° V
Data Interface
Ethernet, TCP

Applications

DM-PS2601-VGA is intended for people-counting systems that need edge processing and structured results over an Ethernet network.

Entrance traffic counting

  • Count pedestrian movement at retail, commercial-building or venue entrances.
  • Use the 120° × 90° field of view to evaluate coverage with fewer camera positions.

Occupancy monitoring

  • Send people-counting results to building, room or facility-management systems.
  • Use TCP over Ethernet for integration with a local analytics or control platform.

Queue and movement analysis

  • Evaluate coordinate and movement-trail output for zone flow and queue analytics.
  • Validate occlusion, crossing paths and crowd density in the final installation.

Embedded people-flow terminals

  • Deploy Linux-based edge inference where structured counting data is preferred.
  • Store application software and local data within the available 8 GB eMMC capacity.

Technical Specifications

Depth imaging and optics

ParameterSpecification
Depth resolution640 × 480 at 30 fps
Working distance0.3-5 m
Field of view120° horizontal × 90° vertical
Active illuminationDual VCSEL, 2 × VCSEL

Edge computing and data

ParameterSpecification
Operating systemLinux
AI processorQuad-core ARM Cortex-A7 + NPU + RISC-V MCU
Memory2 GB DDR4
Storage8 GB eMMC
Data interfaceEthernet
Communication protocolTCP
People-counting outputCount, coordinate, height and movement trail

Electrical, mechanical and environmental

ParameterSpecification
Power supply12 V / 2 A
Power input2.5 mm DC jack, 12 V
Power consumption5 W average, 15 W peak
Operating temperature-20 °C to +60 °C
Storage temperature-25 °C to +75 °C
Dimensions65 × 65 × 60 mm
Weight315 g

Specification boundary: The published source does not state test methods or tolerances for the working distance, frame rate, field of view, power consumption or environmental limits. Use the latest controlled datasheet and an evaluation sample for production qualification.

Integration Guidance

Electrical and network design

  • Provide a regulated 12 V source rated for 2 A and design for the stated 15 W peak load.
  • Request the TCP payload definition, network configuration method and firmware protocol version.
  • Confirm data update rate, coordinate system, timestamp behavior and loss-of-network recovery.

Optical and algorithm validation

  • Verify mounting orientation, height and coverage against the 120° × 90° field of view.
  • Benchmark counting performance with expected traffic direction, clothing, occlusion and crowd density.
  • Confirm VCSEL wavelength, laser-safety classification, thermal behavior and ambient-light performance.

FAQs

Is DM-PS2601-VGA a standalone people-counting camera?

Yes. It combines a Linux edge-computing platform, quad-core ARM Cortex-A7, NPU and RISC-V MCU with the ToF camera, and it outputs people-counting data over Ethernet. Confirm the current firmware and protocol documentation for your host system.

Does DM-PS2601-VGA provide VGA depth data at 30 fps?

Yes. The published specification states 640 × 480 resolution at 30 fps.

Can DM-PS2601-VGA cover a wide entrance or monitored zone?

Yes. Its specified field of view is 120° horizontal × 90° vertical. Actual floor coverage depends on mounting position, height, orientation and scene occlusion, so verify the layout with an evaluation sample.

Does DM-PS2601-VGA send people-counting results over Ethernet?

Yes. Ethernet is the data interface and TCP is the listed communication protocol. Available outputs include count, coordinate, height and movement trail.

Does DM-PS2601-VGA support a 0.3-5 m working distance?

Yes. The published working-distance specification is 0.3-5 m. Counting accuracy across that full range is not stated, so qualify performance in the intended scene.

Does DM-PS2601-VGA use dual VCSEL illumination?

Yes. The projector is specified as dual VCSEL, or 2 × VCSEL. The source does not state wavelength, optical output or laser-safety classification.

Can DM-PS2601-VGA operate from -20 °C to +60 °C?

Yes. The listed operating-temperature range is -20 °C to +60 °C, and the storage-temperature range is -25 °C to +75 °C. Validate thermal performance in the final enclosure.

Can DM-PS2601-VGA be powered from a 12 V supply?

Yes. It requires a 12 V / 2 A supply through a 2.5 mm DC jack. Published power consumption is 5 W average and 15 W peak.

Can I request an evaluation sample and integration support?

Yes. Contact DOMI with the mounting geometry, monitored area, traffic flow, network requirements and expected annual volume so the FAE team can review sample and integration needs.

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