AI analytics
42 analytics run on your own server, in a separate process. Whatever your camera brand, add any analytic you want to each channel and link the event to a notification, siren, announcement or barrier.
Set up a scenario in four steps
No technical expertise needed; everything happens in ProVife Administrator.
Select the camera
Choose the channel and the analytic to run on it.
Draw the area
Mark the zone, line and direction on the image.
Set the schedule
Choose the days and hours the analytic runs.
Link the action
Alarm, WhatsApp, siren, announcement, barrier or scenario.
Objects and motion
Core analytics that distinguish people, vehicles and animals and turn motion into events with area, line and direction rules.
Human classification
Detects people, not motion; shadows, leaves and headlight reflections do not trigger alarms.
Animal classification
Distinguishes animals such as birds, cats, dogs, horses and cattle from people and vehicles and reports them separately.
Vehicle classification
Recognizes cars, trucks, buses, motorcycles and bicycles; responds only to vehicle movement.
Zone intrusion
Reports people, vehicles or objects that enter the area you draw or stay longer than the set time.
Line crossing
Catches people or vehicles crossing a virtual line in the selected direction and keeps a persistent count of crossings.
Wrong-way detection
Detects people or vehicles moving against the permitted direction and reports them with an image.
Loitering
Detects people who stay in an area longer than the time you set; spots casing and suspicious loitering early.
Gathering and crowds
Creates a crowd event when the number of people in an area exceeds the threshold and stays there for the set time.
Running and fast movement
Measures a person’s speed relative to their own height; reports people who run or suddenly speed up.
Security
Analytics that instantly report situations requiring intervention, such as fights, falls, unattended objects and camera tampering.
Fight
Evaluates consecutive frames together to recognize pushing and fighting movements, and alerts security immediately.
Fall
Detects people who fall and cannot get up; enables fast response in care homes, hospitals and on site.
Abandoned object
Detects bags, packages or boxes that appear permanently in the area compared with a reference image.
Removed and missing object
Creates an event when a valuable object in the reference image is taken from its place or goes missing.
Camera tampering
Detects when a camera is covered, blurred, darkened or turned away, and reports the cause.
Fire
Early warning analytics that spot flame and smoke in the image and start siren, announcement and notification scenarios.
Workplace safety
Analytics that continuously enforce hard hats, workwear, masks, body posture and presence at post on site.
Hard hat detection
Detects workers with no visible hard hat; can distinguish by hard hat color.
Workwear color
Detects people without the specified vest or coverall color on their torso and reports them with an image.
Mask detection
Examines the mouth area of the face to detect people not wearing a mask and reports them with a face image.
Body posture
Recognizes lying, sitting, bending and hands-up postures from body keypoints and reports them with duration.
Absence from post
Reports when a post stays unattended for the set time; also records the worker’s return.
Face
Analytics that run on your own server for face detection, gallery recognition, age range, repeat visits and face attendance.
Face detection
Captures every face passing in front of the camera once and stores it as an event with a face image.
Face recognition and gallery
Recognizes registered people in the person gallery and writes their name to the event; the gallery is managed entirely within ProVife.
Repeat visit
Recognizes when the same person returns within the time you set; separates staff and repeat entries from the count.
Age estimation
Produces an approximate age range for faces seen by the camera; shows the visitor profile in numbers.
Face attendance
Builds a daily check-in and check-out attendance list from face recognition events; no cards or fingerprints needed.
Vehicles and plates
Analytics that bring plate reading, list-based access control, speed, vehicle attributes and under-vehicle scanning together in one place.
Plate reading
Confirms the plate of every passing vehicle across multiple reads and writes the vehicle owner and direction to the event.
Plate-based access control
Manages vehicle access with allow and block lists; opens the barrier via a relay for authorized plates.
Parking duration
Matches plates read by the entry and exit cameras and calculates how long the vehicle stayed in the parking lot.
Speeding
Calculates vehicle speed from the real distance between two lines; records vehicles over the limit with an image and plate.
Vehicle color and type
Classifies vehicles as cars, buses, trucks and vans; identifies white, gray, yellow, red, green, blue and black.
Vehicle make and model
Recognizes the make, model and body year of cars; stores the three most likely results together.
Under-vehicle comparison
Scans the underside of the vehicle, compares it with the previous scan of the same plate and marks areas that differ.
Business and retail
Analytics that turn people and product counts, queues, shelves, occupancy and store visitor data into reports.
Line-based people counting
Counts people crossing the line at doors and passageways separately as entries and exits; also supports overhead cameras.
Queue length and waiting time
Measures the number of people in the queue and each person’s waiting time; reports the longest and average wait.
Empty shelf
Uses the shelf’s full state as a reference; measures the fill rate as products run low and notifies the team.
Conveyor counting
Counts products passing on a production or packaging line by direction; each product is counted once.
Occupancy and heat map
Shows where people spend the most time in an area as a color map; reveals space usage hour by hour.
People counting zones and capacity
Combines counts from multiple cameras to monitor live occupancy and capacity in a building, floor or hall.
Store visitor counting
Combines entries and exits at all store doors; produces daily, hourly and per-door reports.
Conversion rate
Counts people crossing the checkout line as shoppers and calculates their ratio to store visitors.
PTZ
Auto tracking analytic that locks moving cameras onto a target and keeps it in the center of the image.