AI models for Live stream moderation / visual policy alerts
This service watches a live stream against your published policy and raises an alert when something breaks it — nudity, violence, weapons, prohibited symbols, banned products, or spoken abuse — fast enough for a moderator to intervene while it is happening.
Two constraints shape every deployment. The first is that the picture and the sound must both be watched, since a stream can be entirely acceptable visually and unacceptable in what is said. The second is the alert budget: moderators can only act on so many alerts an hour, so the thresholds are set to fit the moderation team you actually have, and the system is measured on what it lets through at that rate. Automatic cut-off is possible but is normally reserved for the narrow set of categories where a false positive is cheaper than a false negative.
Models in this group take a live camera or stream as input and must keep pace with it in real time. Each specification table gives three hardware tiers — Minimum, the smallest setup on which the model runs correctly; Medium, the usual production configuration; and High, a configuration sized for peak volume. The rate is how many camera streams or feeds one server of that tier can keep up with in real time, not a per-hour count: live work must fit inside the interval between frames, and a server that cannot keep pace drops frames rather than falling behind. Use these rates for initial sizing. Before production, benchmark your own data to validate accuracy, latency, throughput and cost. The sample input here is one 1080p stream at 25 frames per second.
CLIP-based NSFW classifier
Vendor: LAION
What it does: scores frames for sexual content against a written description, so the definition can be tuned to your policy rather than a fixed notion. The usual visual first pass.
Requirement
Minimum
Medium
High
GPU type
RTX 3060
RTX 4090
A100 80 GB
VRAM
6 GB
24 GB
80 GB
vCPUs
4
8
24
RAM
16 GB
32 GB
64 GB
Server
1× RTX 3060 12 GB
1× RTX 4090 24 GB
1× A100 SXM 80 GB
Rate (camera streams handled at 25 frames per second)
≈ 12 streams
≈ 45 streams
≈ 130 streams
NudeNet
Vendor: community-maintained open-source project
What it does: a very small classifier detecting explicit content cheaply, light enough to run on every frame of many streams at once.
Requirement
Minimum
Medium
High
GPU type
RTX 3060
RTX 4090
A100 80 GB
VRAM
4 GB
24 GB
80 GB
vCPUs
4
8
24
RAM
8 GB
32 GB
64 GB
Server
1× RTX 3060 12 GB
1× RTX 4090 24 GB
1× A100 SXM 80 GB
Rate (camera streams handled at 25 frames per second)
≈ 40 streams
≈ 150 streams
≈ 450 streams
Falconsai NSFW image detection
Vendor: Falcons.ai
What it does: an alternative classifier used alongside the others, since agreement between two independent models is a far better basis for automatic action than either alone.
Requirement
Minimum
Medium
High
GPU type
RTX 3060
RTX 4090
A100 80 GB
VRAM
6 GB
24 GB
80 GB
vCPUs
4
8
24
RAM
16 GB
32 GB
64 GB
Server
1× RTX 3060 12 GB
1× RTX 4090 24 GB
1× A100 SXM 80 GB
Rate (camera streams handled at 25 frames per second)
≈ 20 streams
≈ 70 streams
≈ 200 streams
YOLO11
Vendor: Ultralytics
What it does: detects specific prohibited objects — weapons, particular products, banned symbols — fitted to your own list. The precise component of the policy check.
Requirement
Minimum
Medium
High
GPU type
RTX 3060
RTX 4090
A100 80 GB
VRAM
6 GB
24 GB
80 GB
vCPUs
4
8
24
RAM
16 GB
32 GB
64 GB
Server
1× RTX 3060 12 GB
1× RTX 4090 24 GB
1× A100 SXM 80 GB
Rate (camera streams handled at 25 frames per second)
≈ 10 streams
≈ 36 streams
≈ 100 streams
YOLO-World
Vendor: Tencent AI Lab
What it does: detects objects from a written list without being fitted first, which lets a new policy item be enforced the day it is added.
Requirement
Minimum
Medium
High
GPU type
RTX 3060
RTX 4090
A100 80 GB
VRAM
8 GB
24 GB
80 GB
vCPUs
6
12
24
RAM
16 GB
32 GB
64 GB
Server
1× RTX 3060 12 GB
1× RTX 4090 24 GB
1× A100 SXM 80 GB
Rate (camera streams handled at 25 frames per second)
≈ 3 streams
≈ 12 streams
≈ 34 streams
Qwen2.5-VL 7B / 72B
Vendor: Alibaba Cloud
What it does: judges a flagged frame against your written policy in context — distinguishing a medical image from an explicit one — which is what reduces false alerts. Applied only to frames another model flagged.
Requirement
Minimum
Medium
High
GPU type
RTX 4090 (7B, reduced precision)
A100 80 GB (7B, full precision)
2× H100 80 GB (72B model)
VRAM
16 GB
80 GB
160 GB combined
vCPUs
8
16
32
RAM
32 GB
64 GB
200 GB
Server
1× RTX 4090 24 GB
1× A100 SXM 80 GB
2× H100 SXM 80 GB
Rate (camera streams handled at 25 frames per second)
≈ 1 stream
≈ 4 streams
≈ 8 streams
Parakeet TDT
Vendor: NVIDIA
What it does: transcribes the stream live so what is said can be checked as well as what is shown.
Requirement
Minimum
Medium
High
GPU type
RTX 3090
RTX 4090
A100 80 GB
VRAM
12 GB
24 GB
80 GB
vCPUs
8
12
24
RAM
32 GB
48 GB
96 GB
Server
1× RTX 3090 24 GB
1× RTX 4090 24 GB
1× A100 SXM 80 GB
Rate (camera streams handled at 25 frames per second)
≈ 8 streams
≈ 30 streams
≈ 80 streams
Llama Guard 3
Vendor: Meta
What it does: checks the live transcript against your policy and reports which category is broken, with the passage that broke it.
Requirement
Minimum
Medium
High
GPU type
RTX 3090
RTX 4090
H100 80 GB
VRAM
16 GB
24 GB
80 GB
vCPUs
8
12
24
RAM
32 GB
48 GB
128 GB
Server
1× RTX 3090 24 GB
1× RTX 4090 24 GB
1× H100 SXM 80 GB
Rate (camera streams handled at 25 frames per second)
≈ 6 streams
≈ 20 streams
≈ 60 streams
Choosing between them
The configuration depends on your policy, your audience and the size of your moderation team. Our consultants review your policy and a sample of your streams, then recommend the models, the thresholds for alert and automatic action, and the human review the result requires.
At the start of a project we may run a short proof of concept on a sample of your own data, measuring the accuracy and the throughput the model actually achieves on your material. That replaces the estimates on this page with real figures, so the cost and the schedule for the full engagement are known before it is committed.
Share a representative sample, expected volume, latency target and deployment location for Live stream moderation / visual policy alerts. We benchmark the shortlisted models, recommend the lowest-cost GPU configuration that meets the target, and scale it from pilot capacity to a dedicated production cluster.