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Products

The Oculi Sensor & Processing Unit (SPU) is a groundbreaking advancement in visual sensor technology, designed for AI-driven applications. Unlike traditional image sensors that cater to human image
interpretation, the OCULI SPU is specifically optimized for vision-based Machine Learning (ML) and engineered to serve the computational demands of ML algorithms. This shift in design philosophy enables 
efficient, fast, and intelligent on-sensor processing that are essential for contemporary AI products.

Oculi has developed the SPU Visual AI Eval Program (SPU Eval) to provide customers with options for engaging and evaluating the OCULI SPU vision sensor today ahead of the forthcoming commercial product availability.

The SPU Eval program provides multiple evaluation options, geared towards different uses cases/applications. An additional option for customer-specific proof of concept (POC) engagements is also available to be performed for special requirements. The SPU Eval's goal is to provide early access via these platforms using a combination of simulation/emulation and SPU prototypes in order to enable software development and early prototyping of applications, programming with APIs, and ultimately prepare customers for advanced access to the OCULI SPU vision sensor for their environment.

Magenta Eval Program: AI Vision Applications

Oculi-Magenta.png
Title
sf
Dimensions
78mm x 34mm x 27mm
Operating Temperature
-20°C to +70°C (-4°F to +158°F)
Input Voltage
5V DC 2.5A over micro USB
Processor
Raspberry Pi Zero 2 W
GPIO
Configurable I/O pins
Host Connection
USB 2.0 (Ethernet via USB)
Oculi Vision Intelligence Platform P11
Title
p11B
Dimensions
85 x 62 x 22 mm
Operating Temperature
-25°C to +85°C
Input Voltage
PoE / 5 V
Processor
Xilinx SoC
GPIO
Configurable I/O pins
Host Connection
Ethernet
Title
sterio
Dimensions
97 x 73 x 22 mm
Operating Temperature
-25°C to +85°C
Input Voltage
5 V
Processor
Xilinx SoC
GPIO
Configurable I/O pins
Host Connection
Ethernet
Oculi with SPU

Software Toolkit

GUI

Artboard

Interactive User Friendly Application

CLI

Artboard 46

Comprehensive Command-Line Application

SDK

Artboard

Libraries, code samples

& documentation

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