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SeeDoo

Computer Vision Device for Target Audience Analysis

SeeDoo

Family Offices
Company Type
Tel Aviv, Israel
Location
Project work
Engagement Model
6 - 10 people
Team Size
Less than 3 Months
Duration
$50K - $100K
Budget

About

Development of an on-premises device for detecting individuals and showcasing advertisements on DOOH displays in transportation or outdoor locations using computer vision technology.

Challenge, approach, and impact

On-Premises Computer Vision Device Development

Development of a compact on-premises computer vision device for detecting individuals and showcasing targeted advertisements on DOOH displays in transportation or outdoor locations.

Machine Learning Model Training

Training a machine learning model for successful object recognition, object detection, tracking, and classification using deep learning techniques.

Deployment Optimization for Edge Devices

Transforming the computer vision model into ONNX and TensorRT formats to ensure seamless deployment on edge devices like Jetson Nano and Jetson Xavier with limited GPU and RAM memory.

How we built

IoT & Smart Devices
AI & ML Solutions

Testimonials

Jane L., Project manager @ SoftTeco

SoftTeco

Verified Testimonial

Amazing team and result!

Team structure

Client team

Alex L's avatar

Alex L

CTO

Project stakeholder

The client stakeholders at SeeDoo were working closely with the team at SoftTeco

Agency team

3 x ML engineer's avatar

3 x ML engineer

Production

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