Smart Retail · Anti-Theft · People Counting · RFID · Thermal Imaging · Air Quality
AI Video Loss Prevention

Skynet | AI Video Loss Prevention System

From "reviewing footage after the fact" to "deterring theft in the moment" — let your store's cameras understand theft behavior. Three tiers (T1/T2/T3), up to 48 IP camera channels, with 4/8/12 channels of AI anti-theft analysis.

Why AI Loss Prevention

Most shrinkage happens while the cameras are "recording"

Everything is on video, but no one sees it as it happens — this is the biggest gap in retail loss prevention.

1.6%Retail shrinkage as a share of revenueFor annual revenue of NT$50 million, that is about NT$800,000 lost
36%of shrinkage comes from external theftThe rest comes from internal shrinkage, operational errors and administrative mistakes
30daysVideo overwrite cycleBy the time stock-taking reveals a shortage, the key footage has often been overwritten

What really happens in stores

  • A duty officer watching 16 channels at once loses focus sharply after 20 minutes
  • Concealment takes just 2–3 seconds — exactly in the frame no one is watching
  • When stock-taking finally shows a shortage, no one knows which day or which camera to review
  • Habitual shoplifters test stores: a store that has never stopped them becomes a regular target

Sources: NRF National Retail Security Survey (shrink rate 1.6%, external theft 36%); overwrite cycle depends on hard drive capacity and number of channels.

Real footage of a store shelf areaReal footage of concealment in a store shelf area

▲ Real footage from a store's shelf area: concealment takes only seconds, yet it is enough to cause losses

Three blind spots of conventional CCTV

Records, but doesn't judge

Cameras faithfully record every second, but never tell you "that action just now was suspicious." Video is evidence, not a line of defense.

Staff can't keep watch

One duty officer must monitor 8–16 channels at once; catching a concealment that lasts a few seconds by eye is nearly impossible.

Discovered too late

Losses are usually noticed only when stock-taking shows a shortage — by then the footage may already be overwritten, leaving nothing to investigate.

The key to loss prevention isn't "how clear the recording is," but "whether someone knows the moment it happens."

How it works

Skynet — a video recorder that reads behavior

Adds AI anti-theft computing on top of your existing surveillance system, turning "concealment" into an event that triggers a real-time alert.

01

Video Input

Up to 48 IP camera channels
Supports ONVIF and major brands

02

AI Behavior Analysis

Built-in deep learning AI compute card
Recognizes 6 concealment methods

03

Real-Time Alerts

Red on-screen frame + unit buzzer
E-mail notifications to staff

04

Event Review

Event thumbnail list
Locate by time and channel in one click

No need to replace existing cameras

Existing IP cameras of 2 MP or higher with a suitable angle can be reused, greatly lowering deployment costs.

Processing done on-device

AI analysis runs on the unit's built-in AI compute card — no need to upload video to the cloud, meeting store data-security and bandwidth requirements.

It understands "concealment"

It detects the act of slipping merchandise into clothing, pockets or bags — not just whether someone walked by.

AI Recognition

Six common concealment methods the system recognizes

Below is real evidence footage from stores; each set shows consecutive frames of a single concealment.

Skynet AI recognition: front waistband
1. Front waistbandItem slipped into the front of the waist
Skynet AI recognition: back of the waist
2. Back of the waistTurns to block with the back and tucks item into the rear waist
Skynet AI recognition: back trouser pocket
3. Back trouser pocketQuickly stuffed into a hip pocket at hand level
Skynet AI recognition: shirt collar
4. Shirt collarLifts the hem or neckline and drops item in from above
Skynet AI recognition: handbag
5. HandbagBlocks with the body and puts item into a carried bag
Skynet AI recognition: shoulder bag
6. Shoulder bagOpens shoulder bag with one hand and stows item directly

※ The system uses human detection and action-sequence analysis; it does not rely on product barcodes or anti-theft tags, and requires no action from shoppers.

Live Test

Same camera, two behaviors, two outcomes

Skynet test: normal purchase, blue-frame tracking with no alert
Normal PurchaseBlue-frame tracking, no alert A shopper picks up items, compares prices and puts them in the basket — the system keeps tracking the person but sees nothing abnormal, so no alert is raised and staff are not disturbed.
Skynet test: theft behavior, red-frame alert
Theft BehaviorRed-frame alert, event pushed instantly The moment merchandise is put into a personal bag, the frame turns red, the event thumbnail instantly appears in the list on the right, and an e-mail notification can be sent.
Merchandise tucked directly inside clothing; the system instantly flags suspected theft and alerts
▲ Merchandise tucked directly inside clothing; the system flags suspected theft and alerts the moment the action is completed
No bag? Still caught

No bag? Still caught

It recognizes the "concealment" action itself, not whether the person carries a bag.

  • No reliance on bags or tags Whether there's a bag or whether items are tagged doesn't affect detection.
  • Alerts now, not afterward Triggered the instant the action is completed, so staff can step in immediately.
  • Events logged automatically Thumbnail, time, channel and event type are all recorded.
  • Remote notifications too E-mail notifications can be sent to store or area managers (internet connection required).
Alerts

From detection to notification in the time of a single action

On-Site Alert

The live view frame turns red and the target is locked in a red box, with optional linkage to the unit's buzzer and external alarm output.

Event List

Each event automatically records a thumbnail, date and time, channel name and event type (e.g., suspected shoplifting).

E-mail Notification

Alert e-mails are sent over the internet so duty staff, store managers and area supervisors are notified at the same time.

Alert Linkage

Can be linked to recording, snapshots, alarm output, PTZ presets and smart tracking, with scheduled arm / disarm by time period.

Skynet alert screen: red frame on live view (left), event list (right)
▲ Alert screen: red frame on the live view on the left, event list building up automatically on the right
Skynet rule line setup screen
▲ The blue lines in the image are rule lines: draw them freely along shelves, aisles and entrances
Site Planning

Rule lines and detection zones customized to store traffic flow

Up to 10 rule lines can be set per camera, strengthening coverage of high-value areas and blind spots.

Compatible smart detection features

Anti-theft concealment recognitionHuman detection and trackingLine crossing detectionIntrusion detectionLoitering detectionCrowd detectionLingering detectionObject left / removedPeople CountingVideo diagnostics (blur / obstruction)Scheduled Arming

Scheduled Arming Apply different rules for business hours, off-peak hours and after closing to reduce false alerts.

Product Line

Three tiers, chosen by store type and camera count

All three models share the same hardware; they differ in the number of built-in AI compute cards, which determines how many channels can run anti-theft analysis at once.

Skynet T1

4channelsAI anti-theft analysis channels

Built-in AI compute cards 1

Recommended for: convenience stores, small drugstores, single-counter boutiques

Best Seller

Skynet T2

8channelsAI anti-theft analysis channels

Built-in AI compute cards 2

Recommended for: mid-size supermarkets, consumer electronics stores, chain stores

Skynet T3

12channelsAI anti-theft analysis channels

Built-in AI compute cards 3

Recommended for: hypermarkets, large chains, logistics warehouses

Skynet AI anti-theft video recorder

Common specifications

  • Up to 48 IP camera channels
  • 1U chassis (desktop / rack-mount)
  • 1 SATA bay, up to 20 TB per drive
  • HDMI × 2 (Port 1 supports 4K) + VGA × 1
  • Dual Gigabit Ethernet ports
  • Supports ONVIF and major-brand IP cameras
Specifications

Skynet T1/T2/T3 common hardware specifications

Processor64-bit high-performance multi-core processorVideo OutputHDMI × 2 (Port 1 supports 4K), VGA × 1
Operating SystemEmbedded LinuxPorts2 × RJ-45 10 / 100 / 1000 Mbps
Video InputUp to 48 IP camera channelsUSBFront panel 2 × USB 2.0; rear panel 2 × USB 3.0
Network BandwidthIncoming / recording / outgoing 256 Mbps eachSerial PortsRS-232 × 1, RS-485 × 1
ResolutionUp to 32 MP (32 / 24 / 16 / 12 / 8 / 6 / 5 / 4 / 3 MP, 1080p, 720p)Alarm / AudioAlarm in 4, out 2; audio in 1, out 1
Video CompressionH.265 / H.264 (smart codec reduces storage and bandwidth)Power / Consumption12 VDC / 5 A; 18 W (without HDD) – 25 W (full load)
Live ViewUp to 16 channels of local live previewDimensions304 × 223.8 × 43.5 mm (1U, desktop / rack-mount)
Storage Interface1 SATA bay, up to 20 TB per driveWeightNet weight 1.75 kg
Third-Party CompatibilityONVIF (Profile S / T / G), RTSP, SDKOperating Environment−10 °C to +55 °C; humidity 10–90 % RH (non-condensing)

Video retention depends on hard drive capacity, number of active channels and bitrate settings; with a 30-day loop recording plan, expired footage is overwritten automatically. AI anti-theft analysis covers 4/8/12 channels depending on model (T1/T2/T3).

Architecture

Deployment: keep existing cameras, upgrade at the recorder

Video from on-site cameras feeds into the Skynet unit, where the built-in AI compute card performs AI analysis before distributing to each monitoring endpoint.

Front-End Cameras

Entrance camerasShelf aisle camerasCheckout camerasBlind spots / high-value areas2 MP or higher recommended, 30°–60° downward angle

Skynet Unit T1/T2/T3

Video input and loop recording (up to 48 channels)AI anti-theft behavior analysis (4/8/12 channels)Alert decisions, event logging and linked outputsRule lines and scheduled arm / disarm management

Monitoring & Notification

HDMI monitor · live viewing at the duty deskPC client software · multi-screen managementMobile app · remote viewing and playbackE-mail alerts (store internet connection required)
Before you start

Installation requirements and detection conditions

AI recognition has physical limits. Setting clear conditions up front keeps expectations in line with actual results.

Installation Recommendations

  • Cameras of 2 MP (1080p) or higher recommended
  • Mounting angle of 30°–60° downward recommended; avoid being too vertical or too horizontal
  • Point lenses straight down shelf aisles, minimizing obstruction and backlight
  • The store needs an internet connection to enable e-mail alert notifications
  • Size hard drive capacity based on channel count, bitrate and retention days
  • We recommend a site survey by Gold-Pick engineers to plan camera positions and rule lines

Recognition Limits (please read before deploying)

  • Extremely fast theft may not form a complete action sequence
  • Target too far from the camera, lacking body and hand detail
  • Stolen item is too small or transparent
  • Key action blocked by shelves, other people or the person's own body
  • Located in a camera blind spot

Skynet is the "real-time detection" layer of loss prevention; we recommend pairing it with an EAS retail anti-theft system and on-site staff verification for a complete line of defense. Gold-Pick can also plan EAS gates, anti-theft tags, consumer electronics display security and RFID inventory counting — one point of contact for your entire loss prevention setup.

Applications

Where it fits best

Any open-shelf environment where shoppers can freely pick up merchandise is prime territory for Skynet.

Convenience stores · Supermarkets

High-turnover, small items across large open displays

Drugstores · Beauty stores

High-value small-package goods with concentrated theft risk

Consumer electronics · Telecom stores

High-priced, small accessories that are easy to pocket

Apparel · Household goods

Areas around fitting rooms and blind spots are high-risk

Bookstores · Libraries

Can be planned together with RFID library collection systems

Warehouses · Logistics sites

Internal shrinkage control in picking and outbound staging areas

Skynet | AI Video Loss Prevention Commercial

▶ Understand Skynet in 90 seconds: from "reviewing footage after the fact" to "deterring theft in the moment"

Video

Skynet Commercial

Two seconds, and the merchandise is gone. See how Skynet uses AI to read concealment, raise real-time alerts and notify your staff.

Book a site assessment & quote

More Skynet videos

Skynet AI Theft Detection

Skynet AI-Powered In-Store Shopper Analytics

Skynet Privacy-First AI: Anonymization at the Source

Skynet Webinar: Turning CCTV into Smart Loss Prevention

Skynet Webinar: Large Store Deployment Case Study

Need anti-theft, people counting or RFID planning?

Our specialist will survey your site and tailor a plan to your store type and budget, covering everything from product selection and installation to training and after-sales maintenance.

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