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Motion Image Shot

Motion Image Shot saves a short JPEG series when motion or sound is detected. It is a lightweight alternative to event video clips when you need thumbnails, notification images, evidence snapshots, or recognition-ready frames.

Event snapshots instead of full video

The task listens to upstream detection context and starts a photo series when VIDEO_MOTION_DETECTED or AUDIO_MOTION_DETECTED is set. Every saved JPEG produces a FileCreatedEvent, so snapshots can be used by notification, history, storage, or downstream automation workflows.

Small evidence files
Store still images instead of full clips when storage or bandwidth is limited.
Notifications
Attach one or more frames to Telegram, email, dashboard, or event history messages.
Recognition frames
Create JPEG snapshots for object recognition, OCR, QR reading, face review, or license plate checks.
Audio-triggered images
Capture images when sound is detected even if the video detector did not see motion.

Required upstream signals

01

Capture task is running

The parent media capture task must deliver video frames. Rotation, source resolution, and upstream frame rate affect the saved image.

02

Motion or sound detection is configured

Place Motion Image Shot after Motion Detection or Sound Detection. The task records what upstream detection marks as an event; it does not filter motion by itself.

03

Writable file storage is available

Select storage that can handle bursts of small JPEG files. Busy scenes with short intervals and long series can create many files quickly.

Adding the snapshot task

01

Open the capture task tree

Navigate to the camera or playback source that already has media capture and detection tasks.

02

Add Motion Image Shot

Add the task after Motion Detection or Sound Detection so it can react to VIDEO_MOTION_DETECTED or AUDIO_MOTION_DETECTED.

03

Choose storage and naming

Select the target file storage and folder structure. Use millisecond-based patterns when several snapshots can be saved within the same second.

04

Tune the series

Set photo interval, photos in series, and compression rate according to event speed, required detail, storage budget, and notification size limits.

Configuration parameters

These are the parameters available when configuring Motion Image Shot.

ParameterRequiredDescriptionDefault
ID
YesUnique identifier generated automatically for this task instance. Read-only.Auto
Restart on failure
YesControls how the task is restarted after an error: stop on failure, immediately, 10 sec, 30 sec, or 1 min.10 sec
Target file storage
YesWritable file storage where JPEG snapshots are committed.None
Folder structure
YesTimestamp-based folder and file naming pattern. Use yyyyMMdd / hh / mmss for normal event snapshots and millisecond patterns when several files can be created in one second.yyyyMMdd / hh / mmss
Photo interval (ms)
YesDelay between shots in one event series. Valid range is 50 to 5000 ms.1000
Photos in series
YesNumber of photos captured for one motion or sound event. Continuous motion can keep re-arming the series.3
Compression rate
YesJPEG quality from 0.1 to 1.0. Higher values preserve more detail but create larger files.0.75

Shape the series for the event type

01

Event thumbnail only

Use Photos in series = 1, Photo interval = 1000, and Compression rate = 0.65-0.8 when one representative image is enough.

02

Balanced event evidence

Use Photos in series = 3, Photo interval = 500-1000, and Compression rate = 0.75-0.85 for normal people, vehicle, and perimeter events.

03

Fast object movement

Use Photos in series = 5-10, Photo interval = 100-500, and enough storage throughput for bursts of similar frames.

04

Low-storage snapshots

Use Photos in series = 1-3, Photo interval = 2000-5000, and Compression rate = 0.4-0.65. Tune upstream detection strictly so noise does not create unnecessary series.

05

High-detail recognition

Use Photos in series = 3-5, Photo interval = 500-1000, and Compression rate = 0.85-0.95. Also check source resolution, focus, lighting, and grabber Rotate image.

False event reduction: If rain, light changes, trees, or noise create too many image series, tune Motion Detection first with detection areas, thresholds, blur, dilation, event stun time, and classifier filtering. Motion Image Shot saves the event frames it receives; it does not decide what is real motion.