Articles sur les normes et certifications https://efa-controls.com/en/category/standards-and-certifications/ Bureau d'étude pour véhicules industriels Mon, 11 May 2026 13:10:14 +0000 en-US hourly 1 https://wordpress.org/?v=7.0.2 https://efa-controls.com/wp-content/uploads/2017/08/cropped-logo_übereinander_333333-petit-Copie-32x32.png Articles sur les normes et certifications https://efa-controls.com/en/category/standards-and-certifications/ 32 32 Glossary of Vision and Autonomous Navigation https://efa-controls.com/en/glossary-of-vision-and-autonomous-navigation/ Fri, 27 Mar 2026 08:41:16 +0000 https://efa-controls.com/?p=35835

In many industries today, machines no longer simply carry out commands. They ‘see’, analyse, make decisions… and sometimes even move around on their own. Behind these capabilities lie two technological pillars: machine vision and autonomous navigation.

These are topics we explore on a daily basis in our design office, and one thing often comes up: the terminology is quite technical. So here is a simple, practical glossary to bring a bit of clarity to it all.

AGV-efa-navigation-autonome
Autonomous navigation: moving without direct intervention

Autonomous navigation refers to a system’s ability to move around on its own within a given environment.
Contrary to popular belief, it is not a single technology, but a coherent set of components:

  • sensors (cameras, lidar, radar, GPS, etc.)
  • software capable of understanding the environment
  • algorithms that determine the route to follow
  • systems that physically control the vehicle

It is this combination that now enables logistics robots to move around warehouses, or industrial machinery to assist operators with their manoeuvres.

Insight: making sense of data

Perception is often the first building block of the system.
In practical terms, this is the moment when the machine transforms raw data into actionable insights. An image becomes an obstacle, a shape becomes a person, an area becomes passable or impassable.
This is a crucial step: without reliable perception, all subsequent decisions are fragile.

Location: knowing exactly where you are

An autonomous machine must know where it is at all times.
To achieve this, several technologies can be combined:

  • GPS or GNSS for global positioning
  • inertial sensors to track movement
  • cameras or lidar to orientate itself within the environment
  • odometry to measure displacement

In industrial environments, reliance on a single sensor is generally avoided. Redundancy is essential to ensure accuracy and robustness.

Machine vision: when machines learn to see

Machine vision encompasses all the technologies that enable a machine to interpret what is happening around it using visual sensors, most commonly cameras.
But capturing an image is not enough. The real challenge lies in the processing. Algorithms analyse these images to extract useful information:

  • detecting an obstacle in a path
  • identifying an object or piece of equipment
  • estimating a distance
  • detecting a human presence

In practice, this is what enables, for example, a robot to avoid collisions, or a machine to position a load precisely.
Beyond performance, it is also a major driver for improving safety and automating tasks that were previously dependent on human intervention.

Mapping: constructing a representation of the world

Before a machine can navigate intelligently, it must first understand its surroundings.
Mapping involves creating a digital representation of the environment:

  • accessible areas
  • fixed obstacles
  • waypoints

Depending on the situation, this map may be prepared in advance (static) or updated continuously (dynamic).
It is on this basis that the machine will be able to plan its movements.

Sensor fusion: combining data for greater reliability

No sensor is perfect.
A camera can be affected by light conditions, a lidar by certain surfaces, and a GPS by the environment.
Sensor fusion involves combining multiple sources to achieve a more reliable and comprehensive view. For example:

  • combining a camera and lidar to better detect obstacles
  • cross-referencing GPS and inertial data to stabilise positioning

This is often what makes the difference between a system that works ‘in the lab’ and one that is truly robust in the field.

SLAM: finding your way whilst exploring

SLAM (Simultaneous Localisation and Mapping) is a particularly interesting approach.
The idea is simple in theory: the machine builds its map whilst simultaneously determining its own position within it.
This is essential in environments that are:

  • unknown
  • changing
  • unstructured

This technology is used in many practical applications, ranging from mobile robots and drones to certain types of industrial equipment.

Path planning: choosing the right route

Once the machine has mapped its environment and knows where it is, the next step is to decide how to move.
Path planning involves calculating the optimal route, taking into account:

  • obstacles
  • the map
  • vehicle constraints (speed, turning radius, stability, etc.)

It is not just a question of efficiency. It is also a matter of safety and the smooth running of operations.

Remote working: keeping people in the loop

Full autonomy is not always desirable, nor even possible.
Teleoperation allows an operator to take control remotely, using video feedback and dedicated interfaces.
This is particularly useful in:

  • hazardous environments
  • complex situations
  • transitional phases towards greater autonomy

In practice, many systems combine autonomy with human supervision.

Towards smarter… and more useful machines

What we are seeing today is not merely a technological evolution, but a paradigm shift.

Machines are becoming capable of:

  • adapting to their environment
  • assisting operators rather than replacing them
  • improving safety in practical ways
  • optimising day-to-day operations

Machine vision and autonomous navigation are no longer experimental concepts. They are already at the heart of many projects, and their role will only grow in the years to come.

Understanding these concepts, even at a basic level, already provides a better grasp of the challenges — and, above all, the opportunities.

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efa is committed to a more sustainable future by sorting its waste! https://efa-controls.com/en/efa-is-committed-to-a-more-sustainable-future-by-sorting-its-waste/ Tue, 13 May 2025 08:15:56 +0000 https://efa-controls.com/?p=31891
PDU

At efa, we are committed to a more sustainable future.
Recycling isn’t just about sorting: it’s about preserving resources, limiting pollution and giving waste a second life.

Electronic equipment can contain precious materials such as copper, gold, palladium and certain rare earths. Extracting these resources from nature requires costly and polluting mining.
By recycling WEEE, we can recover some of these metals and reduce our dependence on virgin resources. This is an essential lever for a more sustainable and resilient industry.
WEEE can also contain toxic substances: lead, mercury, cadmium, brominated flame retardants, etc. If disposed of carelessly, these components can contaminate soil, air and groundwater.

Supervised recycling helps to neutralise health and environmental risks.

In Europe, the WEEE Directive requires companies to collect, sort and treat their electronic waste. Failure to recycle could result in penalties, but it could also damage a company’s image.
Complying with regulations means protecting your business while affirming your CSR commitments.

Every industrial company has a role to play in sustainable development. Recycling waste means entering a virtuous circle: produce → consume → recycle → reuse.
By recovering WEEE, we are actively participating in a circular economy that is less wasteful, more ethical and more forward-looking.

Here’s how efa recycles 10 types of waste every day:

Empty aerosols
♻ Recycling prevents the release of toxic residues and allows metals to be recovered.

Copper
♻ It is a rare and precious resource. Recycling it saves raw materials.

Scrap metal
♻ Recycled scrap metal is used to manufacture new metal objects, reducing the environmental impact.

Soiled empty packaging
♻ By recycling it, we prevent it from being landfilled or incinerated (even if it can be recovered in cement works or used to heat private homes).

Batteries
♻ They are full of heavy metals and recycling them avoids soil and water pollution.

WEEE (Waste Electrical and Electronic Equipment)
♻ This waste hides precious and often rare materials that can be recycled.

Neon lights
♻ They contain mercury, which is why proper treatment protects health and the environment.

Ink cartridges
♻ Contain plastic, metals and polluting inks. They can be cleaned, recharged or dismantled for recycling.

Yellow bins (paper/cardboard)
♻ Recycling these materials saves wood and energy.

Black bins (all waste)
♻ Even here, some recyclable materials can still be extracted and recycled by sorting.

At efa, we implement practical solutions to effectively collect, sort and recycle the waste generated by our activities. Every action counts.

Empty aerosols


Recycling prevents the release of toxic residues and allows metals to be recovered.

WEEE (Waste Electrical and Electronic Equipment)

This waste hides precious and often rare materials that can be recycled.

Batteries

Full of heavy metals: recycling them avoids soil and water pollution.

Copper

A rare and precious resource: recycling it saves raw materials.

Neon lights

 

They contain mercury, which is why proper treatment protects health and the environment.

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New mandatory standards for heavy goods vehicles https://efa-controls.com/en/new-mandatory-standards-for-heavy-goods-vehicles/ Mon, 01 Jul 2024 12:45:51 +0000 https://efa-controls.com/?p=26873
Distances d'isolement-efa

efa offers you support and solutions to meet the new standards that will be in place from July 2024.

In 2019, the European Union introduced a major revision of the rules on mandatory safety devices for cars, vans and heavy goods vehicles. This update provides for a gradual implementation of the devices, with significant changes for trucks from July 2024.

By this date, all new trucks sold in the EU will have to comply with the General Security Regulation (GSR). (RGS).

✅ Among the list of compulsory safety systems,

↪ efa offers innovative and intelligent solutions:

 

✅ Emergency stop signal : a flashing stop light (or similar) to warn other road users behind the truck that it is slowing down quickly or braking suddenly.

↪ Our efa solutions communicate in CAN (Sentry, Side Defender, 2DKIT) or via TOR outputs (2DKIT) which can control beacons, buzzers, alarms inside and outside the truck cab.

 

✅ Rear-view information : technology, materialised by a camera or sensors, which gives the driver an overview of objects and people behind the truck.

↪ In addition to cameras for viewing the rear and/or blind spots of the vehicle, the efa range allows you to activate the detection warning only when reverse gear is active.

When we install several cameras, it is possible to display the camera that detects the pedestrian in full screen for better visibility

In addition, we have ‘passive’ 360° and ‘active’ 360° solutions with pedestrian detection, enabling the products in the efa range to respond fully to this point in different ways.

 

✅ Blind spot information system: a system that warns the driver of cyclists driving alongside or crossing in front.

↪ Our Side Defender is connected to the truck and detects the truck’s speed. By measuring the speed of the truck and objects around it, it can detect moving objects in its field of vision.

The 2DKIT uses AI to detect humans in the blind spot. The advantage is that the 140° angle gives a wide field of vision, but the detection zones mean that only the blind spots of interest are detected, combining safety with driver comfort.

           Side Defender

Ecran 2DKIT 20232DKIT

✅ Departure information system: technology that warns the driver of vulnerable road users in front of the vehicle before departure or when driving at low speed.

↪ The 360DKIT solution detects people and positions them on the screen so that the driver knows where the danger is.

The system differentiates between humans and objects, which reduces false positives. Each alert is real and this increases the driver’s vigilance (compared with a device that rings all the time!).

360DKIT

Logo 360DKIT

✅ Event data recorder: a “black box” to record accident data. Launch is planned for later in 2029.

↪ Efa can offer optional recorders for its 360 and 360DKIT solutions.

Recording is done on USB key with automatic deletion in accordance with RGPD constraints.

 

Would you like support and advice? Contact us now!

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