Describe
Classification is the difference between "a vehicle" and "a white van seen at the gate at 22:41". VisionObject records attributes that can be observed in the picture and are useful for a search, and keeps what a model produced apart from what a reviewer wrote.
What is included
Record what can be observed about each sighting: its type, colours, tags, plate and where and when it was seen.
Observed by the platform
Attributes a model attaches to a sighting. Each can be wrong.
Object type
Person, car, motorcycle, bicycle, bus, truck, backpack, handbag or suitcase, with a detection confidence.
Limit: Detection quality depends on the scene, image quality, light, distance and camera angle.
Colours
Optional moduleDominant colours of clothing, upper and lower, and of motor vehicles.
Limit: Colours shift with lighting and camera settings.
Descriptive tags
Optional moduleUp to three short tags per sighting, such as "backpack" or "uniform".
Limit: Colours shift with lighting and camera settings.
Plate text
Optional moduleThe plate as read, a confidence value, and whether the read matched a valid format.
Limit: Not every visible plate is readable: small, distant, angled, dirty or poorly lit plates are skipped rather than guessed.
Scene reading
Optional moduleUses an external AI serviceA short description, up to eight tags and a suggested severity, from one still frame.
Limit: A reading arrives after the sighting; it is not on the real-time alert path.
Recorded with each sighting
Facts about where and when, not about the object.
Camera, area and time
The camera, the area it is labelled with, and when the sighting was first and last seen.
Limit: A member sees only the cameras their organisation and their own scope allow.
Still frames
The clearest frame and the full scene, where a frame was captured.
Limit: VisionObject does not retain live video; the surrounding footage stays on your recorder.
Written by a reviewer
Kept apart from model output.
Notes, tags and status
A reviewer's notes and tags on an alert carry their name and the time, and are never mixed with model-produced tags.
Limit: An alert from a scene reading or a plate watchlist hit carries a still; an alert from a zone, line, dwell or item-left rule links to the sighting and its still; count and camera-offline alerts have none.
What is recorded
Attributes that can be observed, and nothing that cannot.
The difference between "a vehicle" and "a white van at the gate at 22:41". Each attribute comes from a model and can be wrong.
Person
- Clothing colour, upper and lower
- Descriptive tags, such as "backpack" or "uniform"
- First and last seen
- Rule events it raised: zone entry, line crossing with direction, dwell limit reached
No model here classifies demographics or emotion.
Vehicle
- Type: car, bus, truck, motorcycle, bicycle
- Colour
- Plate as read, with confidence
- Whether the read fits a valid format
- Rule events it raised: zone entry, line crossing with direction, dwell limit reached
Speed is not measured. A bicycle has no colour and no plate.
Carried item
- Type: backpack, handbag, suitcase
- First and last seen
- Left still beyond the set time, where an item-left rule fired
Limited to these three types. No colour is recorded for a carried item.
Scene reading
- A one-line description
- Up to eight tags, from a preferred list that the model may add to
- Suggested severity
- The plate as the model read it, kept apart from the plate reader's result
Optional module. A reading can be wrong.
Object type
Nine types are detected in each analysed frame and followed within one camera.
Only these nine types are followed. Anything else in view, such as an auto-rickshaw or a hand-cart, is named only by a scene reading.
- Cyclist: Bicycle
- Motorcycle carrying three people: Motorcycle
- White car: Car
- Blue van: Car
- Orange truck: Truck
- Green bus: Bus
- Person in red with a backpack, at the main gate: Person, Backpack
- Person in yellow with a handbag: Person, Handbag
- Person in uniform carrying a box: Person
- Person under an umbrella: Person
- Suitcase by the bench: Suitcase
- Person in red with a backpack, on the campus road: Person, Backpack
- Person beside the hand-cart: Person
People
- Person
Vehicles
- Car
- Motorcycle
- Bicycle
- Bus
- Truck
Carried items
- Backpack
- Handbag
- Suitcase
The whole list, in words
- Source
Search within: One camera; Every camera in your scope; Uploaded recordings; A department or zone, for events and figures
- Time range
Kept for each sighting: First seen; Last seen; The clearest frame, as a still, where one was captured
- Object type
People: Person
Vehicles: Car; Motorcycle; Bicycle; Bus; Truck
Carried items: Backpack; Handbag; Suitcase
- Colour
Recorded as: People: upper and lower clothing; Cars, motorcycles, buses and trucks: main colour
The twelve names: black, white, grey, red, orange, yellow, green, cyan, blue, purple, pink, brown
- Worn or carriedShown, not searchable
Tags: Backpack; Handbag; Hat; Face mask; Uniform; Umbrella; On a phone; Carrying a box; Rider with helmet
- Vehicle
Type: Car; Motorcycle; Bicycle; Bus; Truck
Body style: Sedan; SUV; Pickup truck; Delivery vanShown, not searchable
- Number plate
Kept for each read: Plate text as read; Confidence of the read; Whether it fits a valid format
Search: The whole plate, or part of it
Route: Near match: one character out, or a commonly confused character; The cameras where it was read, in time order
- Scene reading
Present: auto-rickshaw; two-wheeler; pillion-rider; car; truck; bus; bicycle; hand-cart; pedestrian; street-vendor; stray-animal
Scene: heavy-traffic; light-traffic; junction; footpath; divided-carriageway; flyover; street-lit; night-scene; daytime; low-visibility; heavy-rain; camera-obscured
Vehicle: vehicle-wrong-way; vehicle-parked-illegally; vehicle-stopped-in-junction; vehicle-overloaded; vehicle-damaged; vehicle-no-plate; vehicle-plate-obscured
Two-wheeler: motorcycle-no-helmet; motorcycle-triple-riding; motorcycle-on-footpath
Person: person-on-roadway; person-running; person-loitering; person-on-ground; person-climbing; person-carrying-large-object
Crowd: crowd-forming; crowd-blocking-road; crowd-dense
Hazard: collision; fire-or-smoke; weapon-visible; unattended-baggage; road-obstruction; spilled-load; flooding
- Movement
Events: Entered a zone; Item left still beyond a set time; At least a set number in view
Also: Left a zone; Crossed a line, with direction; Stayed in a zone beyond a set time
- Similar appearance
A group gives you: Every sighting in it, in time order; The cameras it appeared on; The stills to compare
Not recorded
- Speed
- Vehicle make and model
- Object size
- Distance between people
Not classified by any model
- Emotion or mood
- Intent, dangerousness or likelihood of offending
- Gender, ethnicity or other demographic classification
- Who a person is, from appearance alone
An AI scene reading is instructed to describe clothing, vehicles and behaviour only. Its text is not filtered.
Events it produces
What this capability watches for.
Each event says what it needs and where it stops. The rules you set on a camera raise these events, and the alerts that go with them.
Object present
A chosen kind of object is in a camera's view, such as a truck on a camera that covers a bay or a bicycle on one that covers a pedestrian area.
- When
- An object of the chosen type is present in the camera's view.
- Limit
- Limited to the detected object types, and to the camera's whole view: it cannot be limited to a drawn zone.
Vehicle counts by type
Cars, buses, trucks, motorcycles and bicycles counted for each camera, by quarter-hour, hour or day.
- When
- Each followed vehicle is counted once in every period in which it is seen.
- Limit
- A vehicle that leaves the view and returns is counted again, and one seen across two periods is counted in each. Vehicle types outside the detected set are counted as the nearest type or not at all. Counts cover the last 30 days.
Item left behind
A bag, case or stopped vehicle stays still beyond the time you set.
- When
- A backpack, handbag, suitcase or vehicle stays still past the limit.
- Limit
- Only the detected item types are covered, anywhere in the camera's view. A bag beside its seated owner can be reported.
Dwell limit reached
A person or vehicle stays in an area, such as a bay or a service point, beyond the time you set.
- When
- Time inside the zone passes the limit.
- Limit
- An event at the limit, not a report of how long people stay.
Outcome
Filter by type, colour, plate, camera and time, and by scene tag where that module is on, and open the still behind each result.
See it working on footage like yours.
Tell us the workflow you care about. We will walk through it on demonstration footage, say what is available today, and plan a pilot on your own cameras.