How much do you lose to intrusions discovered at dawn?
On a large or isolated farm, a night-time intrusion is often found once the damage is done. Alerts on perimeters and sensitive buildings let you react sooner.
Smart Vision for agriculture
VIDEO.MA studies and installs Smart Vision solutions for agricultural settings: vehicle tracking at entrances, after-hours perimeter alerts, storage-area monitoring and, where feasible, livestock counting at passage points. Systems are designed for outdoor use, dust and energy autonomy.
On a large or isolated farm, a night-time intrusion is often found once the damage is done. Alerts on perimeters and sensitive buildings let you react sooner.
A tractor or installation left unused during key periods is tied-up capacity. Measuring activity around equipment zones helps share machinery better between plots and teams.
Unusual clustering or a deserted area can signal a problem, but it often goes unnoticed between rounds. Tracking activity by zone helps flag earlier what deserves a check.
Agriculture & Livestock
Farms cover wide areas, often remote and lightly supervised, particularly at night.
Sheds, storage areas and pens are exposed, and incidents are sometimes discovered late.
Entries and exits of trucks, tractors and delivery vehicles are rarely recorded systematically.
Counting animals during moves or between plots is still done by hand and prone to error.
VIDEO.MA
Counting of trucks, tractors and light vehicles entering and leaving the farm, with a timestamped history.
Notification of people or vehicles in defined zones outside working hours.
Presence and activity detection around sheds, silos and input stores based on configurable rules.
Measurement of activity levels in defined zones of a building, to spot unusual variations.
Counting animals through a race or gate, highly dependent on species, density and layout; must be validated on site.
Design of camera, Edge AI, battery and 4G connectivity assemblies for areas without mains power.
Self-service consolidated view of several sites and their alerts, planned for the future SaaS platform.
Vehicle passages per day and by type (truck, tractor, light vehicle).
Number and location of after-hours detections.
Frequency of detected presence around stores, by time slot.
Animals crossing an equipped passage point, where feasibility has been validated.
Deliveries logged in the farm management tool compared with measured truck entries.
Vehicles entered
96
Perimeter alerts
3
Animals counted (race A)
412
North kit battery
78%
Activity per hour
Events
Farm visit to identify access points, perimeters, storage areas and passages, and to check power supply and network coverage.
Definition of counting lines, perimeter zones, alert time windows and passage points to equip.
Installation of a first point (entrance or race), tested over several days to assess the impact of dust, lighting and weather.
Extension to other zones, monitoring of energy autonomy and preventive maintenance of outdoor equipment.
Yes, using standalone kits combining a solar panel, battery, Edge AI unit and 4G router. Sizing depends on sunlight, power consumption and network coverage, all checked during the audit.
It can be in favourable layouts, such as a narrow race with animals passing in single file. Dense herds or wide passages reduce accuracy, so an on-site test is essential.
They require sufficient lighting or cameras suited to night vision. The feasibility study specifies the detection level achievable in each zone.
No. Edge AI processing runs on site, and only alerts and indicators are sent when a connection is available.
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