Appworks

Computer Vision & Machine Learning

One of the most exciting applications of machine learning in recent years is computer vision — allowing a software program to “see,” derive insights, and make decisions based on that information. You may already use a simple example of it today when you unlock your phone using facial recognition. Research firm Tracitca predicts the computer vision market to grow from $1.1 billion in 2016 to over $26.2 billion by 2025. While advances have been made in both the processing power and models needed to accomplish this, the barrier to entry for many companies is still high since it requires knowledge in a range of disciplines and spans both hardware and software expertise.

Appworks offers deep expertise in both computer vision and machine learning as well as a track record of working with clients to deliver successful outcomes in a variety of industries.

Instead of building this capability in house, Appworks can become a trusted partner to help you take advantage of these exciting technologies with applications that deliver powerful benefits to your business.

deliver successful outcomes

Computer Vision offers immediate benefits

While computers were able to read text early on, the processing and understanding of images and videos has only recently become possible with a high level of accuracy. The rich data extracted from images and videos has a variety of applications, including computer-human interactions based on facial recognition, automatic generation of rich metadata describing graphical content, medical imaging for improved diagnosis, and more efficient robotics in manufacturing processes – to name a few.

Appworks has extensive experience working with the major computer vision services, including Google Vision API, IBM Watson, and Microsoft Azure, allowing us to offer the latest capabilities and developments as part of your overall custom software solution.

Machine learning beyond the experimental phase

Computer vision is one of the best examples of tangible benefits from data science and machine learning. With the rise of the “Internet of Things,” more and more data is being produced by companies at all levels of the organization but it’s often buried, messy or hidden in inaccessible legacy systems. Appworks has worked with clients to create AI models that re-purpose this valuable data to drive tangible benefits, moving beyond the experimental stage most companies are still in.

Deriving value from your data can be a daunting prospect, and Appworks can help every step of the way, providing expertise where needed. As a first step, data cleansing and optimization can involve heavy lifting with complex hardware and software integrations involving monolithic enterprise systems, some of which may be legacy systems. Appworks has navigated these environments with clients, and the experience offered by the expert engineers in our Machine Learning practice is invaluable in navigating these difficult paths.

Beyond freeing your data, computer models and algorithms use your valuable data to provide predictive analysis with a range of business outcomes to streamline your operations. Our engineers are skilled in working with the major AI cloud services, including Azure Machine Learning, IBM Watson Machine Learning, and Google Cloud Machine Learning.

Appworx: Mobile Health Solutions

CASE STUDY

Appworx: Mobile Health Solutions

Appworks developed a mobile health solution called AppwoRX, an essential tool for aesthetic medical practices including dermatology, plastic surgery, dentistry, and other fields. Most medical practices struggle with the process of accurately capturing, cataloging and managing patient photos used for diagnosis and treatment. Using the benefits of computer vision, RxPhoto vastly streamlines the process.

Using the old method, capturing and cataloging clinical photos was a cumbersome process, involving multiple steps and handoffs between patients and providers, as well as systems and equipment, taking on average 12 minutes per patient – a huge percentage of the time doctors normally spend on a patient visit.

Appworx: Mobile Health Solutions
AppwoRx streamlines clinical

AppwoRx streamlines clinical photography capture and management by providing HIPAA compliant mobile applications which integrate directly to the EMR and the AppwoRX Cloud, allowing photos to be captured and cataloged in an average of 4 minutes per encounter. The time saved translates directly to improved productivity, bottom line cost savings and increased patient satisfaction.

The high-quality data captured and tracked in RxPhoto provides even more benefit when used for patient education, marketing, and engagement. The solution provides multiple opportunities to educate the patient at the point of care and beyond. For instance, customized reports can be given to patients during the course of their office visit. Our HIPAA compliant patient gateway allows clinicians to send images and custom content to the patient. The patient can then access this content from the privacy of their own home via a HIPAA compliant Patient Portal.

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This Agreement is made and entered into as of the last date signed below 11/17/2019 by and between Appworks Technologies Inc., having its principal place of business at 745 Atlantic Ave, Boston, MA 02111 ("Appworks") and company: hello hello.

WHEREAS Appworks and the Second Party (the "Parties") have an interest in participating in discussions wherein either Party might share information with the other that the disclosing Party considers to be proprietary and confidential to itself ("Confidential Information"); and

WHEREAS the Parties agree that Confidential Information of a Party might include, but not be limited to that Party's: (1) business plans, methods, and practices; (2) personnel, customers, and suppliers; (3) inventions, processes, methods, products, patent applications, and other proprietary rights; or (4) specifications, drawings, sketches, models, samples, tools, computer programs, technical information, or other related information;

NOW, THEREFORE, the Parties agree as follows:

  1. Either Party may disclose Confidential Information to the other Party in confidence provided that the disclosing Party identifies such information as proprietary and confidential either by marking it, in the case of written materials, or, in the case of information that is disclosed orally or written materials that are not marked, by notifying the other Party of the proprietary and confidential nature of the information, such notification to be done orally, by e-mail or written correspondence, or via other means of communication as might be appropriate.
  2. When informed of the proprietary and confidential nature of Confidential Information that has been disclosed by the other Party, the receiving Party ("Recipient") shall, for a period of three (3) years from the date of disclosure, refrain from disclosing such Confidential Information to any contractor or other third party without prior, written approval from the disclosing Party and shall protect such Confidential Information from inadvertent disclosure to a third party using the same care and diligence that the Recipient uses to protect its own proprietary and confidential information, but in no case less than reasonable care. The Recipient shall ensure that each of its employees, officers, directors, or agents who has access to Confidential Information disclosed under this Agreement is informed of its proprietary and confidential nature and is required to abide by the terms of this Agreement. The Recipient of Confidential Information disclosed under this Agreement shall promptly notify the disclosing Party of any disclosure of such Confidential Information in violation of this Agreement or of any subpoena or other legal process requiring production or disclosure of said Confidential Information.
  3. All Confidential Information disclosed under this Agreement shall be and remain the property of the disclosing Party and nothing contained in this Agreement shall be construed as granting or conferring any rights to such Confidential Information on the other Party. The Recipient shall honor any request from the disclosing Party to promptly return or destroy all copies of Confidential Information disclosed under this Agreement and all notes related to such Confidential Information. The Parties agree that the disclosing Party will suffer irreparable injury if its Confidential Information is made public, released to a third party, or otherwise disclosed in breach of this Agreement and that the disclosing Party shall be entitled to obtain injunctive relief against a threatened breach or continuation of any such breach and, in the event of such breach, an award of actual and exemplary damages from any court of competent jurisdiction.
  4. The terms of this Agreement shall not be construed to limit either Party’s right to develop independently or acquire products without use of the other Party’s Confidential Information. The disclosing party acknowledges that the Recipient may currently or in the future be developing information internally, or receiving information from other parties, that is similar to the Confidential Information. Nothing in this Agreement will prohibit the Recipient from developing or having developed for it products, concepts, systems or techniques that are similar to or compete with the products, concepts, systems or techniques contemplated by or embodied in the Confidential Information provided that the Recipient does not violate any of its obligations under this Agreement in connection with such development.
  5. Notwithstanding the above, the Parties agree that information shall not be deemed Confidential Information and the Recipient shall have no obligation to hold in confidence such information, where such information:
    • (a) Is already known to the Recipient, having been disclosed to the Recipient by a third party without such third party having an obligation of confidentiality to the disclosing Party; or
    • (b) Is or becomes publicly known through no wrongful act of the Recipient, its employees, officers, directors, or agents; or
    • (c) Is independently developed by the Recipient without reference to any Confidential Information disclosed hereunder; or
    • (d) Is approved for release (and only to the extent so approved) by the disclosing Party; or
    • (e) Is disclosed pursuant to the lawful requirement of a court or governmental agency or where required by operation of law.
  6. Nothing in this Agreement shall be construed to constitute an agency, partnership, joint venture, or other similar relationship between the Parties.
  7. Neither Party will, without prior approval of the other Party, make any public announcement of or otherwise disclose the existence or the terms of this Agreement.
  8. This Agreement contains the entire agreement between the Parties and in no way creates an obligation for either Party to disclose information to the other Party or to enter into any other agreement.
  9. This Agreement shall remain in effect for a period of two (2) years from the Effective Date unless otherwise terminated by either Party giving notice to the other of its desire to terminate this Agreement. The requirement to protect Confidential Information disclosed under this Agreement shall survive termination of this Agreement.

IN WITNESS WHEREOF:

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11/17/2019

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11/17/2019

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Christopher Cabell

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