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7.1.4.6 MDF1102 Frequenz/Spannungswandler 0..1000Hz, IN >= 30mVpp, Out 0..5V call
7.1.4.6 MDF1103 Frequenz/Spannungswandler 0..2500Hz, In >= 30mVpp, Out 0..5V call
7.1.4.6 MDF1104 Frequenz/Spannungswandler 0..5000Hz, In >= 30mVpp, Out 0..5V call
7.1.4.6 MDF1105 Frequenz/Spannungswandler 0..10KHz, In >= 30mVpp, Out 0..5V call
7.1.4.6 MDF1106 Frequenz/Spannungswandler 0..20KHz, In >= 30mVpp, Out 0..5V call
7.1.4.6 MDFH110x Frequenz/Spannungswandler, In >= 1Vpp, Out 0..5V call
7.1.4.6 MDST1501 Schmitt-Trigger, Schaltschwelle 1 V, Ausgang 0V oder 5V call
7.1.4.6 MDST1502 Schmitt-Trigger, Schaltschwelle 2 V, Ausgang 0V oder 5V call
7.1.4.6 MDST1503 Schmitt-Trigger, Schaltschwelle 3 V, Ausgang 0V oder 5V call
7.1.4.6 MDST1504 Schmitt-Trigger, Schaltschwelle 4 V, Ausgang 0V oder 5V call
7.1.4.6 MDR1901 Referenzspannung, Ausgang 1,000V call
7.1.4.6 MDR1902 Referenzspannung, Ausgang 2,000V call
7.1.4.6 MDR1903 Referenzspannung, Ausgang 2,500V call
7.1.4.6 MDR1904 Referenzspannung, Ausgang 3,000V call
7.1.4.6 MDR1905 Referenzspannung, Ausgang 4,000V call
7.1.4.6 MDF6001 Filter, Antialiasing, 0-100Hz, Eingang ±5V, Ausgang ±5V call
7.1.4.6 MDF6002 Filter, Antialiasing, 0-200Hz, Eingang ±5V, Ausgang ±5V call
7.1.4.6 MDF6003 Filter, Antialiasing, 0-500Hz, Eingang ±5V, Ausgang ±5V call
7.1.4.6 MDF6004 Filter, Antialiasing, 0-1KHz, Eingang ±5V, Ausgang ±5V call
7.1.4.6 MDF6005 Filter, Antialiasing, 0-2KHz, Eingang ±5V, Ausgang ±5V call
7.1.4.6 MDF6006 Filter, Antialiasing, 0-5KHz, Eingang ±5V, Ausgang ±5V call
7.1.4.6 MDF6007 Filter, Antialiasing, 0-10KHz, Eingang ±5V, Ausgang ±5V call
7.1.4.6 MDF6008 Filter, Antialiasing, 0-20KHz, Eingang ±5V, Ausgang ±5V call
7.1.4.6 MPVA100 Modul für Netzleistungsmessung True RMS, 0-100VA, 0..5V Out call
7.1.4.6 MPVA200 Modul für Netzleistungsmessung True RMS, 0-200VA, 0..5V Out call
7.1.4.6 MPVA500 Modul für Netzleistungsmessung True RMS, 0-500VA, 0..5V Out call
7.1.4.6 MPVA1K Modul für Netzleistungsmessung True RMS, 0-1KVA, 0..5V Out call
7.2 MTB4 Europakarten Basisplatine zur Aufnahme von 1-4 Modulen call
7.2 MTB4G Handgehäuse für MTB4. call
7.2 MTB8G Tischgehäuse für 2*MTB4. call
7.2 MB19R-MTB4 19'' Einschub 3HE für 9 MTB4 call
7.2 MBES4L Frontplatte 9TE 9TE mit 4 4pol. Lemosabuchsen call
7.2 MBES4T Frontplatte 9TE mit 4 Thermosteckern call
7.2 MBES4P Frontplatte 9TE mit 4 4pol. Klemmsteckverbindern call
7.2 MBES4B Frontplatte 9TE mit 4 BNC Buchsen call
7.2 MTISO Galvanische Trennung call
7.2 MTBPC8 PC Basisplatine für 1-8 Signalkonditionierungsmodule call
7.2 MTBPC16 PC Basisplatine für 1-16 Signalkonditionierungsmodule call
7.2 MTV4106 Eingangsspannung ±10V DC, Ausgang ±10V call
7.2 MTV3104 Module amplification, input ±5V output ±5V, isolated call
7.2 MTV3011 Module amplification, input ±500mV output ±5V, isolated call
7.2 MTVA3104 Module true RMS amplification, In ±5V, Out ±5V, isolated call
7.2 MTVA3011 Module true RMS amplification, In ±500mV, Out ±5V, isolated call
7.3 MT5BB4 Basisplatine im Europaformat zur Aufnahme von 1-4 Modulen call
7.3 MT5BB2 Basisplatine im Europaformat zur Aufnahme von 1-2 Modulen call
7.3 MT5BB4G Handgehäuse für MT5BB4 call
7.3 MT5BB8G Tischgehäuse für 2*MT5BB4 call
7.3 MB5B19R 19'' Einschub 3HE für 9 MT5BB4 call
7.3 MBES4x Frontplatte für Euroformat 9TE call
7.3 5B30-01 5B module ±10mV in, ±5V out, 4Hz call

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acceed news

Nuvo-9166GC: AI controller from Acceed equipped for robust application
Nuvo-9166GC: AI controller from Acceed equipped for robust application

The inference AI controller Nuvo-9166GC is the latest model from the renowned manufacturer Neousys and now available from the German distributor Acceed. Above all, its combination of robustness meeting industry requirements, individual expansion options for example for cameras, and server-based inference performance as required for current and future artificial intelligence. The platform, which can be configured in accordance with the customers’ wishes supports the latest GPU card 1.4 from Nvidia and provides the 13th generation (Raptor Lake) with a processor power of up to 30 TeraFLOPS.

Nuvo-10208GC: Robust dual GPU platform for high-end AI
Nuvo-10208GC: Robust dual GPU platform for high-end AI

For increasingly efficiently working automation based on artificial intelligence, above-all performant hardware for Edge AI applications is gaining significance. In this context, the German distributor Acceed has now augmented its portfolio with the Nuvo-10208GC, a further latest generation robust platform, which makes a wide range of demanding applications possible. Autonomous driving, optical quality inspection and the monitoring of traffic and material flows are just some of the complex tasks for which the Nuvo-10208GC can provide its strong computing capacity supported by two GPUs.

NRU-220S: AI platform supports assistance systems
NRU-220S: AI platform supports assistance systems

The NRU series for Edge AI applications from the German distributor Acceed is growing. With their fanless chassis design for operation at high temperatures and powerful inference performance, the NRU series controllers are pre-destined for Edge computing installations in confined spaces, e.g. for AI-based video analysis, for monitoring and steering tasks or for manufacturing controls. The robust and fanless NRU-220S and NRU-222S controllers have six RJ45 or M12 Ethernet connections, two of which have 2.5 GbB bandwidth. PoE with an overall capacity of 100 W is available for the remaining four interfaces.

NRU-51V+: 4-camera controller drives autonomous systems
NRU-51V+: 4-camera controller drives autonomous systems

Above-all, the sensor system is extremely important for autonomous robots, vehicles, ground conveyors and similar autonomously acting machines. What is meant is data acquisition with cameras or other sensors and its processing as fast as possible in order to execute the desired programmed functions and actions. The German distributor Acceed has now announced the new series of compact industrial AI platforms with the name NRU-51V+ for the near future. The robust and fanless controllers have four FAKRA-Z ports for GMSL2 cameras and are precisely tailored to these tasks with their equipment with type Jetson Orin or Xavier Nvidia high-performance modules.

Nuvo-9160GC: GPU controller motorises AI and edge computing
Nuvo-9160GC: GPU controller motorises AI and edge computing

In addition to large memory capacity for the data basis, AI applications and edge computing scenarios above-all require high processor power for the evaluation of data and real time reaction. Here, the main performance is currently provided by specialised GPU computers whose architecture is precisely tailored to these tasks. At the same time, the controllers with as small a construction size as possible should be robust and usable in virtually all areas, whether automation, medicine, logistics or general image and data processing. The new Box controller Nuvo-9160GC from the German distributor Acceed is designed to achieve precisely these targets. The platform, which can be configured in accordance with customer requirements, supports the latest RTX-GPU from Nvidia with an output of up to 130 W and supplies a processor power of up to 9 teraflops based on various 12th generation Intel processors.

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