Best Emotion Recognition Software in New Zealand

AutoML Vision provides insights from images at the edge and cloud. Pre-trained Vision API models can also be used to understand text and detect emotion. Google Cloud offers two computer vision products, which use machine learning to help understand your images with an industry-leading prediction accuracy. Automate the creation of custom machine learning models. Upload images, train custom image models using AutoML Vision's intuitive graphical interface, optimize your models for accuracy and latency, and export them to your cloud application or to a range of devices at the edge. Google Cloud's Vision API provides powerful pre-trained machine-learning models via REST and RPC APIs. Assign labels to images and classify them quickly into millions of predefined groups. Detect faces and objects, read printed and handwritten texts, and add valuable metadata to your image catalog.

Get real-time shopper insights. Measurable customer satisfaction. Find out who your customers are. Our Face Analysis Technology empowers brick-and-mortar stores with anonymous shoppers' insights in real-time to optimize customer experiences and daily retail operations. Check out our recommendations. Smarter in-store experiences will increase customer satisfaction and engagement. We all want to increase customer engagement. A satisfied customer is a returning customer. Our software gives you real-time insight into your shoppers' demographic profile and interest. Know who your customers are and optimize everything, from shelf-level displays, to store layouts based on customer behavior. Are you reaching your target audience? These questions can be answered with our software.

Sticky by Tobii Pro, an online self-service platform, combines online surveys with webcam eye tracking and emotion recognition to make advanced quantitative research easy. This time- and cost-efficient way to integrate eye tracking into your research allows you to test large panels of consumers from the comfort of their own computers. They can view targeted shelves, packs or advertisements, as well as webpages, from their own computers. Sticky by Tobii Pro, an online platform, allows large-scale quantitative eye-tracking research and emotion recognition as self-service. It costs a fraction of traditional in-person research. Market researchers can use the participant's webcam to gain valuable visual and emotional information about the performance and impact of new or existing designs and placements. This includes research in packaging and advertising. The platform integrates with panel companies and online survey engines with global reach. This allows for distributed data collection and a quick turnaround.

Insights teams can use a tech-driven platform to gain consumer insights. You can map insights across media, digital, and shopper touchpoints to deliver emotional customer experiences, optimize customer journeys for increased conversions, and gain emotion, attention and engagement insights. UX teams can use the UX platform and usability testing platform to analyze their user experience. Measure attention, engagement, and emotion across user journeys. Test prototypes, mockups and chatbots. Identify key elements in the UI that customers notice. Deliver emotionally optimized UX to drive conversions. Emotion Insights helps you create the best customer experience. Facial Coding APIs for measuring emotional response at scale, single-face emotion recognition, in the wild multi-face emotion recognition, and recorded video emotion analysis. You can test stimuli in a variety of channels, including videos, print ads and planograms, website designs, packages, chatbots, and websites.

Our image and video recognition APIs have been proven to be highly scalable and can be integrated into your own applications without the need for machine learning expertise. EyeRecognize's image and video recognition API services can be used to identify objects, people and text in images and videos. You can also detect faces and NSFW material. Face Analysis and Face Detection, identify all faces in images and videos and extract attributes such as gender, age, eyes and emotion. Text Detection: Extract text from images, such as street signs, license plates, advertising, and brand name. Identify NSFW ("Not Safe for Work") and other inappropriate content in both video and images. EyeRecognize is a collective of over 40 years of artificial intelligence-powered applications. They are the pioneers in using machine learning to automate content moderation on social media.

We offer ready-to-use components such as face recognition SDKs as well as custom software design services and hosted web services that focus on image and video analysis, faces, and objects recognition. Our technology is used by video and image archives, web advertising, entertainment projects, media content producers and video surveillance and security solutions. It also has applications for end users and b2b developers. The Betaface facial recognition suite includes complex operations such as face detection, identification, verification or 1:1,1:N matching, biometric measurements, facial analysis, face tracking on video, age and gender recognition, facial features and shape description, hairstyle analysis, and hairstyle color detection. Our technology is used in video and images archives, entertainment projects, and web advertising.

AlwaysAI offers developers a simple and flexible way for them to create, train, and deploy computer-vision applications to a wide range of IoT devices. You can choose from a variety of deep learning models, or upload your own. Our flexible and customizable APIs make it easy to quickly enable core computer vision services. You can quickly prototype, test, and iterate using a variety camera-enabled ARM32, ARM64, and x86 devices. Identify objects in an image using their names or classifications. Identify and count objects in real-time video feeds. Follow the same object through a series of frames. To count or track faces or complete bodies in a scene, locate them. Identify and draw borders around objects. You can separate the key objects from the background visuals in an image. Determine human body postures, fall detection, and emotions. To train an object detection model, use our model training toolkit. You can create a model that is tailored to your particular use-case.

NoldusHub, the new all-in-one platform for research on human behavior, is a brand-new platform. This software suite will streamline research across multiple modes, providing high-quality information and insights into human behaviour. Multimodal research is essential to understanding a person's motivations and emotional state! Combining multiple types of measurements is difficult, especially if you are using several acquisition tools which need to be calibrated. NoldusHub® was developed to address this exact need. NoldusHub simplifies multimodal research, from setting up, connecting all devices to recording and visualizing the results in a clear manner. The entire process, from start-to-finish, is organized into a single platform. This saves you time, effort, and frustration.

The most advanced In-Cabin Sensing solution to understand what's happening inside a vehicle. It measures the state of the vehicle and the driver, as well as the occupants, in real-time. This helps to improve road safety and create more comfortable mobility experiences. We help businesses understand their customers and consumers' feelings when they can't, or won't, say so. Businesses can improve customer experience and market campaigns by measuring unfiltered, unbiased responses. Our partner iMotions' solution gives you a complete view of human behavior. This research platform seamlessly integrates emotion recognition technology with biometric sensors. Affectiva's focus is on the advancement of its technology in key verticals such as automotive, media, audience analytics, social robotics, and customer analytics. iMotions is a platform that integrates our technology for academic researchers.

Inspired by you, driven by excellence. Eyeris' technology was created out of the needs of the caring parent, the late-night worker, and the aspiring entrepreneur. Our innovative technology is designed to make driving safer and more enjoyable for all drivers. In-Cabin cameras are used most often for driver and occupant monitoring. These cameras are used to interpret the interior scene using Eyeris AI Software. This allows you to gather data from different sensor types and interpret the scene with redundant information for high data accuracy. Hardware innovation is improving in order to run complex AI software in the fastest and most efficient manner. Our vision-based neural network provides the most rich source of information. Our pre-trained vision AI models are able to understand the entire interior space using the most recent image sensors and a wide range of lighting conditions.

NVISO is a global leader for human behaviour AI software, serving worldwide manufacturers of user-centric products. Globally tested and approved human behaviour AI technology for autonomous vehicles. Tesla EVs are safe with interior monitoring, remote monitoring for healthcare/robotics, and intelligent devices to smart homes. Financial advisors can provide best interest advice using scientifically validated tools that detect and manage client behaviours. Safety, security, comfort, and safety of connected and autonomous vehicles through advanced driver and occupant detection, authentication and monitoring. Intelligent patient monitoring empowers medical professionals to improve patient outcomes and efficiency in aged-care homes.

Language can be used to reveal personality traits. Receptiviti maps personality to the Big Five personality framework. It contains 35 measures of personality. You can measure the authenticity, self-focus and affiliation of people to understand how they think and behave in social settings. Understanding the motivations behind a person's behavior will help you to determine if they are driven by self-actualization and achievement, domination, reward, risk avoidance, or risk-seeking behaviour. Identify abusive or threatening language that expresses violence against a group based on race, religion, sexual orientation, and other factors. Identify the author of the text you are interested in. This tool is particularly useful for literary research, cybersecurity and forensics, as well as social media analysis.

Vokaturi software represents the current state of emotion recognition using the human voice. Paul Boersma, a professor of Phonetic Sciences at University of Amsterdam, has designed and continuously improved its algorithms. He is also the main author of Praat, the world's most popular speech analysis software. Vokaturi can detect your emotions directly by listening to your voice. The current open-source version of Vokaturi can choose between these five emotions with high accuracy even if it is hearing the speaker for the very first time. The software's "plus" version achieves the same performance level as a human listener. You can easily integrate the Vokaturi software into your own applications as a library. You have the option to choose between a free, open-source license or a paid one.

You need accurate data. Surveys are not often filled out. Complex and expensive RFID and Bluetooth (BLE), solutions are available. Each smart camera analyzes hundreds of faces over time and generates metrics such as impressions and demographics (age/sex) and positive sentiment (happiness). It takes less than 12 minutes to set up a camera and you can access our live dashboard from anywhere and at any time. You can measure happiness over time by analysing hundreds of faces with more than 95% accuracy. You will gain valuable insights into which demographics are most and least engaged. To find out what content and activations work best, you can run A/B tests. You will be able to gain powerful insights and data for your marketing, sales, and research efforts. To understand people's behavior, automatically track the total number (non-unique), and measure average dwell times. To uncover unique insights about your audience, use ethical facial analysis.

Sybill is a video assistant that can be used to help sales teams feel more connected emotionally. It records the body language and expressions of your buyer during a call to provide insight into who might be a champion and what gets them excited. Sybill gives sellers deep prospect insight, which allows them to move the deal forward. It allows sales leaders and coaches to modify their messaging and decks according to what resonates with prospects and help them coach their teams to be more successful. Sybill will show you the most memorable moments that got your prospects excited so that you can follow up with them on the things that matter most to them. Your prospects will have a pleasant experience if you are always in touch with their needs.

EmoVu uses advanced machine learning and artificial intelligence to understand human emotions. EmoVu portal allows for accurate measurement of video content’s emotional engagement and effectiveness with target audiences. Our platform is easy to use and allows both short-form and long-form video content creators to share ready-to test creative to thousands emotive viewers. You can gauge the emotional connection and messaging resonance of your creative for specific scenes or for the entire video before it is published. Maximize emotional engagement to save money on poor content. You can track early signs of engagement, social impact, content virality, and individual media outlet performance immediately after distribution. Maximize content buzz, and allocate smart budgets to campaign retargeting. Emotional campaigns are twice likely to yield large profits than rational ones.

AI can be used to subvert traditional business cognition, provide precise industry insights, low operation and maintenance costs, and encourage the digital transformation of enterprises. The ability to mine knowledge and construct knowledge graphs. The traditional human-based knowledge engineering process of building maps can be automated by mining large-scale data and applying industry knowledge and NLP capabilities. This greatly reduces the time and cost of map construction. The fully self-developed ASR/TTS model is optimized for different business scenarios. It also includes self-collected training information and SOTA speech recognition algorithm. It can be customized to support vertical fields with its complete training platform.