EXSHINE Part Number: | EX-901-3001 |
---|---|
Manufacturer Part Number: | 901-3001 |
Manufacturer / Brand: | Cognimem |
Brief Description: | BOARD EVAL V1KU VISION SENSOR |
Lead Free Status / RoHS Status: | Lead free / RoHS Compliant |
Condition: | New and unused, Original |
Datasheet Download: | V1KU Hardware Design User ManualV1KU Starter Kit/CM1K Eval Kit |
Application: | - |
Weight: | - |
Alternative Replacement: | - |
Utilized IC / Part | CM1K |
---|---|
Supplied Contents | Board, Cable |
Series | - |
Secondary Attributes | - |
Primary Attributes | Pattern Recognition |
Other Names | 9013001 |
Moisture Sensitivity Level (MSL) | 1 (Unlimited) |
Manufacturer Part Number | 901-3001 |
Main Purpose | Video, Video Processing |
Expanded Description | CM1K - Video, Video Processing Evaluation Board |
Embedded | Yes, Other |
Description | BOARD EVAL V1KU VISION SENSOR |
Other Names | 9013001 |
---|---|
Standard Package | 1 |
|
T/T (Bank Transfer) Receiving: 1-4 days. |
|
Paypal Receiving: immediately. |
|
Western Union Receiving: 1-2 hours. |
|
MoneyGram Receiving: 1-2 hours. |
|
Alipay Receiving: immediately. |
DHL EXPRESS Delivery time: 1-3 days. |
|
FEDEX EXPRESS Delivery time: 1-3 days. |
|
UPS EXPRESS Delivery time: 2-4 days. |
|
TNT EXPRESS Delivery time: 3-6 days. |
|
EMS EXPRESS Delivery time: 7-10 days. |
- CogniMem Technologies, Inc. is an innovative semiconductor company specializing in pattern recognition with general purpose hardware based neural networks. Our solutions are tailored to overcome challenges in machine learning, machine vision, robotics, inspection, industrial controls, intelligent security cameras, medical and automotive sensing/ sensor fusion to data mining, video analytics, data searching and more. CogniMem – “Cognitive Memory” – is the world leader in providing practical cognitive computing for intelligent sensing to data mining applications, offering a significant performance/ watt advantage over traditional approaches.
CogniMem™ Technologies is a fabless semi-conductor company designing components for high speed and parallel pattern recognition. Its research and design efforts target two extreme usage models: