Asset Management Solutions

Tracking And Management – Simplified With Technology

IoT For Asset Optimization

Sensor Streamlined Tracking Precision

Tessolve offers ready made ODM solutions for different kind of Asset Management use cases. Solution consists of Wirefree Tags and Sensors with Software applications for maintenance. These solutions can be used by Industries, System Integrators off the shelf to enable operational efficiencies.

Simple Asset Tracking

Enabled with mesh and Long range BLE tags with mobile/fixed base stations gateways(with GPS) and software applications. System integrator or End user can easily integrate these solutions for both Indoor and Outdoor assets.

Features

Coin Cell operated wireless BLE mesh based tags. Provides asset localisation
based on Base station coordinates. Available with customisable web/mobile
based user interface.

Sensor Integrated Asset Tracking

Mesh Networked/Long Range wire-free easy to install compact tags with integrated sensors like temp, humidity, tilt, vibrations etc. Such tags with Mobile/Fixed Tessolve base stations provide value added asset tracking for environmental critical assets and logistics like process industry, food chains.

Features

Tag localisation with environmental safety data like temp, humidity, light levels,
tilt and vibrations. Alert system based on user defined sensor parameters.
Available with customisable user interfaces, sensor data analytics
over space and time.

Precision Positioning System

With BLE5.1 Angle of Arrival and Angle of Deparature parameters, this solution enables tag localisation in meters of accuracy both for indoor and outdoor applications. Application comes with customisable user intefaces with indoor floor plans/ outdoor site maps.

Features

Coin Cell operated wireless BLE mesh based tags. Provides asset localisation
based on Base station coordinates. Available with customisable web/mobile
based user interface.

IoT Bricks

Assisting With Assets

Sensor Modules, Bluetooth To Gateways

Connectivity

BLE 5.0, BLE 5.1 Direction Finder, BLE Long Range Modules

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Sensor-Controller

Battery (Coin Cell) Operated Tag, Sensor (Temp, Humidity, Light, Accelerometer) Tag

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Gateway/Base Station

BLE to 3g/4g/Wifi/NBIoT/LTE-M Router or Gateway with GPS

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Backend

Tag On boarding, Tag Registration, MQTT/HTTP Broker, Time and Space coordinate data storage, Analytics APIs

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Front End

Mobile/Web APP integrated with Google Maps and ready to integrate with any floor map(for indoor)

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Let’s Discuss

Let’s Discuss About How We Can Channel The Tomorrow Of Your Connectivity Solutions With Product Engineering

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ML Verification Turns Convention on its Head

The verification of processor architectures designed for Machine Learning (ML) applications represent a departure from conventional techniques. Conventional constrained random testbenches, which focus on stimulus driving coverage, cannot scale for many ML algorithm realizations. ML architectures involve neural networks of processors that “learn” by manipulating coefficients across the network to match ideal outputs to a large quantity of input data. Furthermore, smart compiler technology is employed to leverage the many paths available in the network. An effective verification strategy can leverage planning algorithms that start with the desired output and optimize input values to achieve that output. Ensuring the paths that the compiler might trigger have all been tested, and that the test content can scale from individual processors to the entire network are critical challenges. Breker will share various approaches to this problem, developed through cooperation with three noted AI processor providers.

3 Key Points:

Current verification methodologies cannot scale to meet ML processor challenges

ML verification approach: consider desired outputs, optimize inputs to match

Test Suite Synthesis enable planning algorithm approach to target ML requirements

An Emulation Strategy for Artificial Intelligence Designs

The emergence of Artificial Intelligence is the “next big thing” and presents a unique opportunity for disruptive semiconductor development. End applications could range from ADAS, to 3D facial recognition, to voice and image processing, or to intelligent search. The SoCs for AI applications whether targeted for training or inference will have their own unique characteristics, but present quite common verification challenges that we will present in this session.

Supporting designs as big as 15 billion gates, Mentor’s Veloce Strato has unique virtualization capabilities that enable highly accurate pre-silicon execution of AI benchmarking applications like MLPerf. The Veloce Power App enables analysis of peak and average. We will cover how Veloce Strato and its supporting solutions are the best tool to help address the verification challenges of SoCs targeted for AI applications.

3 Key Points:

Deterministic solution for AI chips verification

Full virtual solution for HW/SW verification

TERAOPS/Watt assessement prior silicon availability

Name: Mike Bartley

Designation: Senior Vice President – VLSI Design

Title: Introduction

Biography:

Mike Bartley has a PhD in Mathematics from Bristol University, an MSc in Software Engineering, an MBA from the Open University and over 25 years of experience in software testing and hardware verification. He has built and managed state-of-the-art test and verification teams in a number of companies who still use the methodologies he established. Since founding TVS in 2008 he has grown the company to over 100 employees worldwide. Dr Bartley is Chair of both the Bristol branch of the British Computer Society and the West of England Bristol Local Enterprise Partnership (LEP). He has had over 50 articles and presentations published on the subjects of hardware verification, software testing and outsourcing.

Asset Management Solutions

Tracking And Management – Simplified With Technology

IoT For Asset Optimization

Sensor Streamlined Tracking Precision

Simple Asset Tracking

Features

Sensor Integrated Asset Tracking

Features

Precision Positioning System

Features

IoT Bricks

Assisting With Assets

Sensor Modules, Bluetooth To Gateways

Connectivity

Sensor-Controller

Gateway/Base Station

Backend

Front End

Let’s Discuss

Let’s Discuss About How We Can Channel The Tomorrow Of Your Connectivity Solutions With Product Engineering

Solutions

Sector & Support

Insights

ML Verification Turns Convention on its Head

AI chips must get the math right

An Emulation Strategy for Artificial Intelligence Designs

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