Discover the perfect product for your 4.0 Industry

Our products

Ell-IoT

La nostra risposta all’esigenza industriale di interconnessione tra sistemi O.T e I.T si chiama Ell-IoT e consente di tenere connessi simultaneamente fino a 256 dispositivi con più driver disponibili.

Questo gateway legge i dati grezzi dal campo (livello O.T) e da più dispositivi mettendo a disposizione dei sistemi operanti ai livelli I.T. i dati ricavati.
Inoltre, è possibile implementare i driver dedicati su specifiche richieste del cliente per dispositivi di terze parti.

Condivisione dati su cloud o server tramite:

MQTT
JSON
OPC UA Azure IoT
CoAP (in progress)
AMQP (in progress)
SOAP-XML
REST API
File (FTP)
OPC UA Client-Server communication
Read/write to local or remote DB

NGW ROBOT GRIPPER

(The New Gripping Way)
The first completely Wireless and Tubeless robot gripper

Structure:

I/O management island with data exchange device
Brushless + Servodrive system with 48VDC battery power supply
Access-point for data exchange
Rotating manifold to release compressed air distribution on the gripper
24 VDC battery for electronic power supply on the gripper
Mobile gripper controlled by a pair of pneumatic mini-cylinders

The real advantages:

Less weight for the same performance
Total absence of electrical cables and pneumatic hoses from the robot head to the base
Cost savings due to drastic reduction of cables to the control panel and elimination of any type of cable chain
A full 360° rotation is possible with significant increase of operability for the device

Robotized cells

TFA is in the business of building highly customized robot cells which are integrated with the customer's production reality.

Robotic systems guarantee high levels of reliability and flexibility. Thanks to their technology, they offer quality performance to meet the requirements of a wide range of different production processes.
This is achieved by conducting feasibility studies through accurate simulations and using various programmers, such as:

RobotGuide (Fanuc)
RobotStudio (ABB)
KUKA WorkVisual (KUKA)
Inventor 2024
Solidworks
Mathlab-Simulink
R.O.S. - Gazebo

ARI Project

The “ARI” Project is a self-learning robotic system capable of quickly and efficiently sort waste. It is equipped with an A.l. system using advanced neural networks.

This system performs a separation/sorting of the material using separator belts at different speeds. The waste reaches the area where the vision system acquires images of the various objects; this will send the coordinates of the objects to the robotic part of the system: DELTA robots will pick up and discard certain waste among those that can be sorted, the other anthropomorphic robots equipped with a suction system gripper will recover the resting waste already sorted but not picked up by the first line of robots.

Benefits and innovative impact: