VCAserver Hardware Recommendations

Minimum Hardware Recommendations:

  • HDD: 256GB (Required for OS and applications)
  • Network: 1 Gigabit
  • 16GB RAM

Optimal Camera Configuration:

  • CODEC: H.264
  • PROFILE: Main
  • BITRATE: VBR/MAX kbps available
  • RESOLUTION: 640 x 480
  • FRAME RATE: 15

Note: VCA will accept higher resolutions and frame rates but they will increase the CPU overhead and result in a reduction in channel capacity without necessarily increasing accuracy.

All performance benchmarks were performed against VCAserver v2.1.0.

CPU Channel Capacities

*Applies to all license types

Ubuntu 18.04

Tested CPUs
(alternative comparable CPUs can be used.AVX2 feature required.)

Recommend using the top model range from each series

Tracker/Classifier

Object Tracker

DL Filter
(appropriate GPU required)

DL Object Tracker
(appropriate GPU required)

DL People Tracker
(appropriate GPU required)

DL Skeleton Tracker

(appropriate GPU required)

Hand Object Interaction (appropriate GPU required)

Behaviour (DLST, Fall, Aggressive) (appropriate GPU required)

Forensics (DLOT + REID) (appropriate GPU required)

Intel i3-13100F

75

75

25

25

25

25

7

12

Intel i5-13600

120

110

80

80

75

70

40

40

Intel i7-13700KF

230

220

115

115

90

110

55

70

Jetson Orin Nano 4GB (ABP 301)

 4

 4

 4

 4

 2

N/A

Jetson Orin Nano 8GB (ABP 302)

 7

 5

 5

 5

 3

 4

Intel Xeon 4208

Intel Xeon 4210

Intel Xeon 4216

Intel Xeon 4314

250

240

100

100

85

95

50

70

NVIDIA GPU Channel Capacities

Ubuntu 18.04

Tested NVIDIA GPUs
(alternative comparable NVIDIA GPUs can be used)

DL Feature

DL Filter
(appropriate GPU required)

DL Object Tracker
(appropriate GPU required)

DL People Tracker
(appropriate GPU required)

DL Skeleton Tracker

(appropriate GPU required)

Hand Object Interaction (appropriate GPU required)

Behaviour (DLST, Fall, Aggressive) (appropriate GPU required)

GTX 1660 Super

75

25

25

25

25

7

RTX 4060

80

80

75

70

40

RTX 4060ti

220

115

115

90

110

55

A2000

200

35

35

25

30

25

A4000

150

60

60

40

55

40

A5000

250

90

90

70

65

50

Feature

Description

License Required

Deep Learning Filter (DLF)

Provides classification for people or vehicles detected by VCA which have passed through defined zones and rule

VCApresenceAi, VCAproAi

Deep Learning Object Tracker (DLOT)

[1]Used for the accurate classification and tracking of people, vehicles and select objects.

VCAproAi

Deep Learning People Tracker (DLPT)

[2]Used for the accurate classification and tracking of people, usually in a well-lit area.

VCAproAi

Deep Learning Skeleton Tracker (DLST)

Used for the definition of skeletal keypoints and tracking of people, usually in a well-lit area.

VCAproAi, VCAbehaviour

Hand Object Interaction (HOI) Tracker

Used for the detection and tracking of hands and objects held in hands, from a top down field of view

VCAbehaviour

Behaviour

Channel configuration including DLST, fall detection and aggressive behaviour analytics

VCAbehaviour

Metadata Data Rate

Analytic metadata is available from all channels and is processed in real-time, metadata can be received via SSE or RTSP metadata streams. The volume of metadata produced will vary based on the number of objects tracked and rules configured for a given channel. As a guide, a video stream with an average of 10 objects tracked will generate between 420 and 550 kbps of metadata.

[1]Deep Learning Object Tracker works exclusively with the NVIDIA CUDA supported range of GPUs

[2]Deep Learning People Tracker works exclusively with the NVIDIA CUDA supported range of GPUs