Ercolani, Simone Pietro

Modular element (1) for structure (1) adapted for supporting a telecommunications station (100), said modular element comprising a first lower planar surface (2) and a second upper planar surface (3) opposite and parallel to said first planar surface (2), said modular element (1) further comprising a metal core (4) embedded, at least partly, in a cementitious structure (5), said metal core (4) further comprising a perimeter metal structure (6) having polygonal plan and a central metal structure (7) integrally constrained to said perimeter structure, said perimeter metal structure (6) comprising at least one connecting metal body (10) having longitudinal axis (X) orthogonal to said first planar surface and provided with a first plurality of through holes (11) each having axis (Y) orthogonal to said longitudinal axis (X) and adapted for allowing the removable connection of said modular element (1) to an additional modular element (1').

Opening/closing device (1) for a container (100) for pourable products, comprising a cap (2), a control ring (3), a hinge (35) for connecting said cap (2) to said control ring (3), said device (1) further comprising a tamper evident element (5) arranged below said control ring (3) in a first position (P1) in which said device (1) has not been tampered with, said control ring (3) being combinable at least rotatably with a collar (4) about a longitudinal axis (X) and said cap (2) being movably constrained with respect to said control ring (3) by means of said hinge (50) between a closed position (C), in which the passage of said pourable product through said collar is prevented, and an open position (O), in which said pourable product is allowed to pass through said collar, said opening/closing device (1) comprising at least one non-removable connecting element (9) between said control ring (3) and said tamper evident element (5), said opening/closing device (1) being characterized by comprising means for guiding the deformation of said tamper evident element at least when said control ring (3) is rotated for the first time with respect to said collar (4) so that, during said first rotation of said control ring with respect to said collar, said tamper evident element (5) moves away from said control ring (3) along said longitudinal axis (X) to reach a second position (P2) in which said device has been tampered with, said collar (4) comprising one or more radial projections (20) adapted for locking said tamper evident element (5) in position when said second position (P2) is reached.

Opening/closing device (1) for container (100) or bottle for pourable products, comprising a cap (2), a control ring (3), a hinge (35) for connecting said cap (2) to said control ring (3), said control ring (3) can be combined to a collar (4) at least rotatably about a longitudinal axis (X) between a first angular range (P1), in which said device has not been manipulated, and a second angular range (P2) distinct from said first angular range (P1), in which said device has been manipulated, said cap (2) being movably constrained with respect to said control ring (3) by means of said hinge (35) between a closed position (C), in which the passage of said pourable product through said collar is prevented, and an open position (O), in which the passage of said pourable product through said collar (4) is allowed, said opening/closing device (1) being characterized by comprising a first reference element (39) integrally constrained to said collar and a second reference element (40) integrally constrained to said control ring (3), said second reference element (40) being substantially aligned with said first reference element (39) along said longitudinal axis (X), at least when said control ring (3) is in said first angular range (P1), said device (1) further comprising preventing means to prevent said control ring (3) from returning to said first angular range (P1) after having been rotated for the first time to move from said first angular range (P1) to said second angular range (P2), so that said second reference element (40) stays misaligned with respect to said first reference element (39), said first rotation of said control ring (3) being able to occur only in one rotation direction.

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Zusammenfassung wird geladen …

Zusammenfassung wird geladen …

Zusammenfassung wird geladen …

Device (1) for reading rapid tests, comprising a base frame (2), capturing means (3) to capture one or more images of said rapid tests and an analyzing unit (4) to process said one or more images captured by said capturing means (3), characterized in that said capturing means (2) are movable relative to said frame (2) between a first position (P1), to capture one or more images of at least one first rapid test (11), and at least one second position (P2), to capture one or more images of at least one second rapid test (12).

Method for verifying whether the damage (D) present in a first crashed vehicle (V) is already present in a plurality of crashed vehicles (V1, V2,...Vn), said method comprising the steps of:a) capturing one or more digital images (V(I1), V(I2),...V(In)) of said first crashed vehicle (V) at said damage D;b) analyzing said one or more captured digital images (V(I1),V(I2),... V(In)) to identify and classify, by means of a first neural network (R1), the mechanical spare part (PM) of said first vehicle (V) in which there is said at least one damage (D);c) analyzing said one or more captured digital images (V(I1),V(I2),..V(In)) to identify and classify, by means of a second neural network (R2), the type of damage (DT) present in said first vehicle (V);d) cropping from each of said one or more images (V(I1),V(I2),... V(In)) captured in said step a), one or more image portions (V(I1)(P1),...V(I1)(Pn),....V(I2)(P1),....,V(I2)(Pn),....,V(In)(P1),...,V(In)(Pn)) at said at least one damage (D);e) extracting, by means of a third neural network (R3), a numerical vector model (V(F)) of said at least one damage from said one or more image portions (V(I1)(P1),...V(I1)(Pn),....V(I2)(P1),....V(I2)(Pn),....,V(In)(P1),...,V(In)(Pn)) analyzed during said step d);wherein, before said steps a) to e) and for each vehicle of said plurality of crashed vehicles (V1,V2,...Vn), the following steps are carried out:a') capturing one or more digital images (V1(I1),V1(I2),...V1 (In); V2(I1),V2(I2),...V2(In);....; Vn(I1),Vn(I2),...Vn(In)) of said crashed vehicle (V1,V2,...Vn) at said damage (D1, D2,..., Dn);b') analyzing, by means of said first neural network (R1) used in said step b), one or more captured digital images (V1(I1),V1(I2),...V1(In); V2(I1),V2(I2),...V2(In);,....; Vn(I1),Vn(I2),...Vn(In)) to identify and classify the mechanical spare part (PM1,PM2,...,PMn) of said vehicle in which there is said at least one damage (D1,D2,...,Dn);c') analyzing, by means of said second neural network (R2) used in said step c), one or more captured digital images (V1(I1),V1(I2),...V1(In); V2(I1),V2(I2), ... V2(In);....; Vn(I1),Vn(I2),...Vn(In)) to identify and classify the type of damage (DT1,DT2,...,DT100) of said vehicle;d') cropping, from each of said one or more digital images captured in said step a), one or more image portions ((V1(I1)(P1),...V1(I1)(Pn),....V1(I2)(P1),....,V1(I2)(Pn),....V1(In)(P1),...,V1(In)(Pn)); (V2(I1)(P1),...V2(I1)(Pn),....V2(I2)(P1),....,V2(I2)(Pn),....V(2In)(P1),...,V2(In)(Pn)); (Vn(I1)(P1),...Vn(I1)(Pn),....Vn(I2)(P1),....,Vn(I2)(Pn),....Vn(In)(P1),...,Vn(In)(Pn))) at said at least one damage (D1,D2,...,Dn);e') extracting, by means of said third neural network (R3) used in said step e), a numerical vector model (V1(F1),V2(F2), ...Vn(Fn)) of said at least one damage from said one or more image portions analyzed during said step d');said method further comprising the steps of:f) for each vehicle of said plurality of crashed vehicles (V1, V2,... Vn), storing the results of said steps b'), c') and e') in a database (DB);g) comparing the results which have been identified during said steps b), c) and e) for said first crashed vehicle with the results which have been identified during said steps b'), c') and e') for each vehicle of said plurality of vehicles and which are contained in said database (DB), to verify whether the damage (D) caused to said vehicle (V) corresponds to the damage (D1,D2,...,D100) caused to one of the vehicles of said plurality of vehicles (V1,V2,...,V100).

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