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Smart Vision for agriculture

Better-protected farms and clearer flows, even at remote sites

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.

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Illustration — fictitious demo data

What it is costing you today

Free audit

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.

How long do your machines and equipment stand idle?

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.

Do you spot unusual activity in your livestock buildings in time?

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

Industry challenges

01

Large, isolated sites

Farms cover wide areas, often remote and lightly supervised, particularly at night.

02

Theft of equipment, inputs or animals

Sheds, storage areas and pens are exposed, and incidents are sometimes discovered late.

03

Untracked vehicle movements

Entries and exits of trucks, tractors and delivery vehicles are rarely recorded systematically.

04

Tedious manual counts

Counting animals during moves or between plots is still done by hand and prone to error.

VIDEO.MA

What VIDEO.MA delivers

Vehicle counting at entrances

Per project

Counting of trucks, tractors and light vehicles entering and leaving the farm, with a timestamped history.

After-hours perimeter alerts

Per project

Notification of people or vehicles in defined zones outside working hours.

Storage-area monitoring

Per project

Presence and activity detection around sheds, silos and input stores based on configurable rules.

Barn activity

Feasibility study

Measurement of activity levels in defined zones of a building, to spot unusual variations.

Livestock counting at passages

Feasibility study

Counting animals through a race or gate, highly dependent on species, density and layout; must be validated on site.

Solar-powered standalone kits

Per project

Design of camera, Edge AI, battery and 4G connectivity assemblies for areas without mains power.

Multi-farm monitoring

Coming soon

Self-service consolidated view of several sites and their alerts, planned for the future SaaS platform.

Example metrics

  • Vehicles in and out

    Video data

    Vehicle passages per day and by type (truck, tractor, light vehicle).

  • Perimeter alerts

    Video data

    Number and location of after-hours detections.

  • Storage-area activity

    Video data

    Frequency of detected presence around stores, by time slot.

  • Animals counted at passages

    Video data

    Animals crossing an equipped passage point, where feasibility has been validated.

  • Recorded vs. observed deliveries

    Video + business data

    Deliveries logged in the farm management tool compared with measured truck entries.

Dashboard preview

Dashboard · Farm — Weekly overviewDemo data

Vehicles entered

96

Perimeter alerts

3

Animals counted (race A)

412

North kit battery

78%

Activity per hour

Events

  • After-hours presence — Input shed, 01:48
  • Truck entered — Main gate, 06:15
  • Unusual activity — Barn 2, zone B
Illustration — fictitious demo data

Deployment approach

  1. 1

    Field audit and feasibility

    Farm visit to identify access points, perimeters, storage areas and passages, and to check power supply and network coverage.

  2. 2

    Zone and indicator configuration

    Definition of counting lines, perimeter zones, alert time windows and passage points to equip.

  3. 3

    Real-conditions pilot

    Installation of a first point (entrance or race), tested over several days to assess the impact of dust, lighting and weather.

  4. 4

    Rollout and follow-up

    Extension to other zones, monitoring of energy autonomy and preventive maintenance of outdoor equipment.

Prerequisites, limitations and privacy

  • Equipment is exposed to dust, heat and weather: protection ratings, cleaning and maintenance must be planned.
  • At night, accuracy depends on available lighting or low-light cameras.
  • In remote areas, 4G connectivity and solar power are sized after study; network coverage is not guaranteed everywhere.
  • Livestock counting remains at study stage, and its accuracy depends heavily on species, density and passage layout.
  • Alerts complement guarding and existing security measures; they do not replace them.

Frequently asked questions

Can cameras be installed without power on site?

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.

Is livestock counting accurate?

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.

Do alerts work at night?

They require sufficient lighting or cameras suited to night vision. The feasibility study specifies the detection level achievable in each zone.

Is a permanent connection required?

No. Edge AI processing runs on site, and only alerts and indicators are sent when a connection is available.

Have a project in this industry?

Get a quote tailored to your sites, cameras and metrics.