Nursery
Al Emaan
- Nursery
- Birmingham B11 3LU
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Ofsted report
Notify us of new Ofsted report
| The quality of education | Good |
| Behaviour and attitudes | Good |
| Personal development | Good |
| Leadership and management | Good |
| Overall effectiveness at previous inspection | Inadequate |
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This insight was generated by AI, based on latest Ofsted report.
Indoor and Outdoor Facilities: Staff are vigilant about identifying risks in the environment to ensure that it remains safe during children's play.
Activities: Children access a range of activities. Staff plan according to children's individual next steps, which helps to close gaps in their learning.
Skills , Knowledge and Behavior: Children show willingness to participate in a range of activities. They enthusiastically cheer when they correctly name each of the colours on their pictures.
Communication: Parents share positive feedback about the nursery. They comment that their children have made good progress since starting the nursery and staff are kind and caring. Staff provide parents with regular feedback about children's learning.
Programs and Resources: If a child is delayed in their development, staff take prompt action. Staff work closely with the special educational needs and/or disabilities coordinator (SENDCo) and other professionals to ensure that support is in place for children at the right time.
Welcoming and Professional Staff: Staff warmly welcome children into the nursery. Staff know children well.
Safeguarding Training: Managers and staff have attended a range of training since the last inspection to support their knowledge and skills.
Play and Learning Integration: Children giggle as they move to the different actions, helping to develop their gross motor skills.
Transition to Primary School: Staff encourage children to pour their own drinks at snack time and put their coats on to go into the garden. They promote children's self-care routines by encouraging children to wipe their own noses.
Child Safety Management: Staff are vigilant about identifying risks in the environment to ensure that it remains safe during children's play.
Children's Safety and Security: Staff warmly welcome children into the nursery. Children settle with ease at their chosen activities.
Happiness and Settling: Children settle with ease at their chosen activities.
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About Us
Al Emaan is a Nursery, Nursery located in West Midlands County, West Midlands.
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Al Emaan
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From the Al Emaan
FootfallCam, a privately held firm that was founded in 2002, is the top provider of solutions for counting people worldwide.
We have a team of highly competent engineers that produce all of the hardware and software in-house in our U.K. headquarters, using their specialties to address business problems over time.
We have tirelessly serviced organisations all over the world in industries ranging from retail, fast food restaurants, and museums to smart buildings and airports, for more than ten years, with the help of a worldwide network of reseller partners and ongoing effort in research and development.
Research and development (R&D) is important to our business and is a key component of our fundamental strategy.
We have an internal R&D team devoted to the creation of FootfallCam's hardware and software.
FootfallCam is able to maintain its position at the forefront of the people counting market through constant product development.
Our main product, FootfallCam 3D Max, was successfully created because to our creative approach to product development.
We are the first company in the world to integrate Wi-Fi analytics and people counts into a single device.
We are dedicated to upholding our position as the industry leader by providing the level of strategic insight that our clients need.
By opening sales offices in a number of nations, including the United Kingdom, the United States, Hong Kong, and Malaysia, FootfallCam increases its footprint around the globe.
FootfallCam has established sales offices in more than 100 nations, including Ireland, France, Italy, Spain, the United Arab Emirates, South Africa, Thailand, Singapore, Indonesia, Germany, Australia, and others. In addition, it has built up a solid partner network.
We have created hardware and software for solutions involving people counting for more than 100 years.
Stereoscopic (3D image processing) being able to discern intelligently between a human and non-human things and follow a walking human's course of travel.
Support Vector Machine (SVM) neural network modelling is used in artificial intelligence to train our machines to recognise objects.
Read more
We have a team of highly competent engineers that produce all of the hardware and software in-house in our U.K. headquarters, using their specialties to address business problems over time.
We have tirelessly serviced organisations all over the world in industries ranging from retail, fast food restaurants, and museums to smart buildings and airports, for more than ten years, with the help of a worldwide network of reseller partners and ongoing effort in research and development.
Research and development (R&D) is important to our business and is a key component of our fundamental strategy.
We have an internal R&D team devoted to the creation of FootfallCam's hardware and software.
FootfallCam is able to maintain its position at the forefront of the people counting market through constant product development.
Our main product, FootfallCam 3D Max, was successfully created because to our creative approach to product development.
We are the first company in the world to integrate Wi-Fi analytics and people counts into a single device.
We are dedicated to upholding our position as the industry leader by providing the level of strategic insight that our clients need.
By opening sales offices in a number of nations, including the United Kingdom, the United States, Hong Kong, and Malaysia, FootfallCam increases its footprint around the globe.
FootfallCam has established sales offices in more than 100 nations, including Ireland, France, Italy, Spain, the United Arab Emirates, South Africa, Thailand, Singapore, Indonesia, Germany, Australia, and others. In addition, it has built up a solid partner network.
We have created hardware and software for solutions involving people counting for more than 100 years.
Stereoscopic (3D image processing) being able to discern intelligently between a human and non-human things and follow a walking human's course of travel.
Support Vector Machine (SVM) neural network modelling is used in artificial intelligence to train our machines to recognise objects.
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Holidays & terms
Holidays 2024/25
| Holidays | Date |
|---|---|
| Autumn Half Term Holidays | 28th Oct 2024 - 1st Nov 2024 |
| Winter Holidays | 23rd Dec 2024 - 3rd Jan 2025 |
| Spring Half Term Holidays | 17th Feb 2025 - 21st Feb 2025 |
| Spring Holidays | 14th Apr 2025 - 25th Apr 2025 |
| Summer Half Term Holidays | 26th May 2025 - 30th May 2025 |
| Summer Holidays | 22nd Jul 2025 - 29th Aug 2025 |
Terms Dates 2024/25
| Terms | Dates |
|---|---|
| Autumn Term | 2nd Sep 2024 - 27th Oct 2024 |
| Autumn Term-2 | 2nd Nov 2024 - 22nd Dec 2024 |
| Spring Term | 4th Jan 2025 - 16th Feb 2025 |
| Spring Term-2 | 22nd Feb 2025 - 13th Apr 2025 |
| Summer Term | 26th Apr 2025 - 25th May 2025 |
| Summer Term-2 | 31st May 2025 - 21st Jul 2025 |
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